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1/11/2016
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02. Modeling in Frequency
Domain
System Dynamics and Control 2.01 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Chapter Objectives
After completing this chapter, the student will be able to
β€’ Find the Laplace transform of time functions and the inverse
Laplace transform
β€’ Find the transfer function (TF) from a differential equation and
solve the differential equation using the transfer function
β€’ Find the transfer function for linear, time-invariant electrical networks
β€’ Find the TF for linear, time-invarianttranslational mechanical systems
β€’ Find the TF for linear, time-invariant rotational mechanical systems
β€’ Find the TF for gear systems with no loss and for gear systems
with loss
β€’ Find the TF for linear, time-invariant electromechanical systems
β€’ Produce analogous electrical and mechanical circuits
β€’ Linearize a nonlinear system in order to find the TF
System Dynamics and Control 2.02 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§1.Introduction
- Mathematical models from schematics of physical systems
β€’ transfer functions in the frequency domain
β€’ state equations in the time domain
System Dynamics and Control 2.03 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
- Transforms: a mathematical conversion from one way of
thinking to another to make a problem easier to solve
- The Laplace transform the problem in time-domain to problem in
𝑠-domain, then applying the solution in 𝑠-domain, and finally using
inverse transform to converse the solution back to the time-domain
- The Laplace transform is named in honor of mathematician and
astronomer Pierre-Simon Laplace (1749-1827)
- Others: Fourier transform, z-transform, wavelet transform, …
System Dynamics and Control 2.04 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
- The Laplace transform of the function 𝑓(𝑑) for 𝑑 > 0 is defined
by the following relationship
𝑠 : complex frequency variable, 𝑠 = 𝜎 + π‘—πœ” with 𝑠, πœ” are
real numbers, 𝑠 ∈ 𝐢 for which makes 𝐹 𝑠 convergent
β„’ : Laplace transform
𝐹(𝑠): a complex-valued function of complex numbers
- The inverse Laplace transform of the function 𝐹(𝑠) for 𝑑 > 0 is
defined by the following relationship
𝑒(𝑑) : the unit step function, 𝑒 𝑑 =
1 𝑖𝑓 𝑑 > 0
0 𝑖𝑓 𝑑 < 0
System Dynamics and Control 2.05 Modeling in Frequency Domain
𝐹 𝑠 = β„’ 𝑓(𝑑) =
0βˆ’
+∞
𝑓(𝑑)π‘’βˆ’π‘ π‘‘
𝑑𝑑
𝑓 𝑑 = β„’βˆ’1
𝐹 𝑠 =
1
2πœ‹π‘— πœŽβˆ’π‘—βˆž
𝜎+π‘—βˆž
𝐹 𝑠 𝑒 𝑠𝑑
𝑑𝑠 = 𝑓 𝑑 𝑒(𝑑)
(2.1)
(2.2)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
- The Laplace transform table
System Dynamics and Control 2.06 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
2
Β§2.Laplace Transform Review
- Ex.2.1 Laplace Transform of a Time Function
Find the Laplace transform of 𝑓 𝑑 = π΄π‘’βˆ’π‘Žπ‘‘
𝑒(𝑑)
Solution
𝐹 𝑠 =
0
∞
𝑓(𝑑)π‘’βˆ’π‘ π‘‘
𝑑𝑑
=
0
∞
π΄π‘’βˆ’π‘Žπ‘‘
π‘’βˆ’π‘ π‘‘
𝑑𝑑
= 𝐴
0
∞
π‘’βˆ’(π‘Ž+𝑠)𝑑
𝑑𝑑
= βˆ’
𝐴
𝑠 + π‘Ž
π‘’βˆ’(π‘Ž+𝑠)𝑑
0
∞
⟹ 𝐹 𝑠 =
𝐴
𝑠 + π‘Ž
System Dynamics and Control 2.07 Modeling in Frequency Domain
(2.3)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
System Dynamics and Control 2.08 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
β„’ 𝑑𝑒 𝑑 =
1
𝑠2 (Table 2.1 – 3)
β„’ π‘’βˆ’π‘Žπ‘‘
𝑓(𝑑) = 𝐹(𝑠 + π‘Ž) (Table 2.2 – 4)
Β§2.Laplace Transform Review
- Ex.2.2 Inverse Laplace Transform
Find the inverse Laplace transform of 𝐹1 𝑠 = 1/(𝑠 + 3)2
Solution
𝑓 𝑑 = β„’βˆ’1
1
𝑠2 = 𝑑𝑒(𝑑)
𝑓1 𝑑 = β„’βˆ’1
1
(𝑠 + 3)2
= π‘’βˆ’3𝑑
𝑓 𝑑
⟹ 𝑓1 𝑑 = π‘’βˆ’3𝑑
𝑑𝑒(𝑑)
System Dynamics and Control 2.09 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
β„’ 𝛿 𝑑 = 1 (Table 2.1 – 1)
β„’
𝑑𝑓(𝑑)
𝑑𝑑
= 𝑠𝐹(𝑠) β†’ β„’
𝑑𝛿(𝑑)
𝑑𝑑
= 𝑠 (Table 2.2 – 7)
Β§2.Laplace Transform Review
Partial-Fraction Expansion
𝐹1 𝑠 =
𝑠3
+ 2𝑠2
+ 6𝑠 + 7
𝑠2 + 𝑠 + 5
= (𝑠 + 1) +
2
𝑠2 + 𝑠 + 5
⟹ 𝑓1 𝑑 =
𝑑𝛿(𝑑)
𝑑𝑑
+ 𝛿 𝑑 + β„’βˆ’1
2
𝑠2 + 𝑠 + 5
Using partial-fraction expansion to expand function like 𝐹(𝑠)
into a sum of terms and then find the inverse Laplace transform
for each term
System Dynamics and Control 2.10 Modeling in Frequency Domain
𝐹(𝑠)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
Case 1. Roots of the Denominator of 𝐹(𝑠) are Real and Distinct
𝐹 𝑠 =
2
(𝑠 + 1)(𝑠 + 2)
=
𝐾1
𝑠 + 1
+
𝐾2
𝑠 + 2
lim
π‘ β†’βˆ’1
[(2.8) Γ— (𝑠 + 1)]
⟹ lim
π‘ β†’βˆ’1
2
𝑠 + 2
= lim
π‘ β†’βˆ’1
𝐾1 +
(𝑠 + 1)𝐾2
𝑠 + 2
⟹ 𝐾1 = 2
lim
π‘ β†’βˆ’2
[(2.8) Γ— (𝑠 + 2)]
⟹ lim
π‘ β†’βˆ’2
2
𝑠 + 1
= lim
π‘ β†’βˆ’2
(𝑠 + 2)𝐾1
𝑠 + 1
+ 𝐾2
⟹ 𝐾2 = βˆ’2
⟹ 𝐹 𝑠 =
2
𝑠 + 1
βˆ’
2
𝑠 + 2
⟹ 𝑓 𝑑 = 2π‘’βˆ’π‘‘
βˆ’ 2π‘’βˆ’2𝑑
𝑒(𝑑)
System Dynamics and Control 2.11 Modeling in Frequency Domain
(2.8)
(2.10)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
In general, given an 𝐹(𝑠) whose denominator has real and
distinct roots, a partial-fraction expansion
𝐹 𝑠 =
𝑁(𝑠)
𝐷(𝑠)
=
𝑁(𝑠)
𝑠 + 𝑝1 𝑠 + 𝑝2 … 𝑠 + 𝑝𝑖 … (𝑠 + 𝑝 𝑛)
=
𝐾1
𝑠 + 𝑝1
+
𝐾2
𝑠 + 𝑝2
+ β‹― +
𝐾𝑖
𝑠 + 𝑝𝑖
+ β‹― +
𝐾𝑛
𝑠 + 𝑝 𝑛
To find 𝐾𝑖
β€’ multiply (2.11) by 𝑠 + 𝑝𝑖
β€’ let 𝑠 approach βˆ’π‘π‘–
System Dynamics and Control 2.12 Modeling in Frequency Domain
(2.11)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
3
β„’
𝑑𝑓
𝑑𝑑
= 𝑠𝐹 𝑠 βˆ’ 𝑓(0βˆ’) (Table 2.2 – 7)
β„’
𝑑2 𝑓
𝑑𝑑2 = 𝑠2
𝐹 𝑠 βˆ’ 𝑠𝑓(0βˆ’) βˆ’ 𝑓′(0βˆ’) (Table 2.2 – 8)
Β§2.Laplace Transform Review
- Ex.2.3 Laplace Transform Solution of a Differential Equation
Given the following differential equation, solve for 𝑦(𝑑) if all
initial conditions are zero. Use the Laplace transform
𝑑2
𝑦
𝑑𝑑2 + 12
𝑑𝑦
𝑑𝑑
+ 32𝑦 = 32𝑒(𝑑)
Solution
𝑠2
π‘Œ 𝑠 + 12π‘ π‘Œ 𝑠 + 32π‘Œ 𝑠 =
32
𝑠
⟹ π‘Œ 𝑠 =
32
𝑠 𝑠2 + 12𝑠 + 32
=
32
𝑠(𝑠 + 4)(𝑠 + 8)
=
𝐾1
𝑠
+
𝐾2
𝑠 + 4
+
𝐾3
𝑠 + 8
System Dynamics and Control 2.13 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
π‘Œ 𝑠 =
32
𝑠(𝑠 + 4)(𝑠 + 8)
=
𝐾1
𝑠
+
𝐾2
𝑠 + 4
+
𝐾3
𝑠 + 8
Evaluate the residue 𝐾𝑖
𝐾1 =
32
(𝑠 + 4)(𝑠 + 8) 𝑠→0
= 1
𝐾2 =
32
𝑠(𝑠 + 8) π‘ β†’βˆ’4
= βˆ’2
𝐾2 =
32
𝑠(𝑠 + 4) π‘ β†’βˆ’8
= 1
⟹ π‘Œ 𝑠 =
1
𝑠
βˆ’
2
𝑠 + 4
+
1
𝑠 + 8
Hence
𝑦 𝑑 = 1 βˆ’ 2π‘’βˆ’4𝑑
+ π‘’βˆ’8𝑑
𝑒(𝑑)
System Dynamics and Control 2.14 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
π‘Œ 𝑠 =
32
𝑠 𝑠2 + 12𝑠 + 32
=
1
𝑠
βˆ’
2
𝑠 + 4
+
1
𝑠 + 8
𝑦 𝑑 = 1 βˆ’ 2π‘’βˆ’4𝑑
+ π‘’βˆ’8𝑑
𝑒(𝑑) (2.20)
The 𝑒(𝑑) in (2.20) shows that the response is zero until 𝑑 = 0
Unless otherwise specified, all inputs to systems in the text
will not start until 𝑑 = 0. Thus, output responses will also be
zero until 𝑑 = 0
For convenience, the 𝑒(𝑑) notation will be eliminated from now
on. Accordingly, the output response
𝑦 𝑑 = 1 βˆ’ 2π‘’βˆ’4𝑑
+ π‘’βˆ’8𝑑
(2.21)
System Dynamics and Control 2.15 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
Run ch2p1 through ch2p8 in Appendix B
Learn how to use MATLAB to
β€’ represent polynomials
β€’ find roots of polynomials
β€’ multiply polynomials, and
β€’ find partial-fraction expansions
System Dynamics and Control 2.16 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
System Dynamics and Control 2.17 Modeling in Frequency Domain
Β§2.Laplace Transform Review
π‘Œ 𝑠 =
32
𝑠3 + 12𝑠2 + 32𝑠
=
1
𝑠
βˆ’
2
𝑠 + 4
+
1
𝑠 + 8
Matlab [r,p,k] = residue([32],[1,12,32,0])
Result r = [1, βˆ’2, 1], p = [βˆ’8, βˆ’4, 0], k = [ ]
π‘Œ 𝑠 = 0
π‘˜
+ 1
π‘Ÿ1
1
𝑠 βˆ’ (βˆ’8
𝑝1
)
+ (βˆ’2
π‘Ÿ2
)
1
𝑠 βˆ’ (βˆ’4
𝑝2
)
+ 1
π‘Ÿ3
1
𝑠 βˆ’ (0
𝑝3
)
=
1
𝑠 + 8
βˆ’
2
𝑠 + 4
+
1
𝑠
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
Case 2. Roots of the Denominator of 𝐹(𝑠) are Real and Repeated
𝐹 𝑠 =
2
(𝑠 + 1)(𝑠 + 2)2
=
𝐾1
𝑠 + 1
+
𝐾2
(𝑠 + 2)2 +
𝐾3
𝑠 + 2
lim
π‘ β†’βˆ’1
[(2.23) Γ— (𝑠 + 1)]
⟹ lim
π‘ β†’βˆ’1
2
𝑠 + 2
= lim
π‘ β†’βˆ’1
𝐾1 +
(𝑠 + 1)𝐾2
𝑠 + 2
⟹ 𝐾1 = 2
lim
π‘ β†’βˆ’2
[(2.23) Γ— (𝑠 + 2)]
⟹ lim
π‘ β†’βˆ’2
2
𝑠 + 1
= lim
π‘ β†’βˆ’2
(𝑠 + 2)𝐾1
𝑠 + 1
+ 𝐾2
⟹ 𝐾2 = βˆ’2
System Dynamics and Control 2.18 Modeling in Frequency Domain
(2.22)
(2.23)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
4
Β§2.Laplace Transform Review
𝐹 𝑠 =
𝐾1
𝑠 + 1
+
𝐾2
(𝑠 + 2)2 +
𝐾3
𝑠 + 2
𝐾1 = 2, 𝐾2 = βˆ’2
(2.23) Γ— (𝑠 + 2)2
⟹
2
𝑠 + 1
=
(𝑠 + 2)2
𝐾1
𝑠 + 1
+ 𝐾2 + (𝑠 + 2)𝐾3
Differentiate (2.24) with respect to 𝑠
βˆ’2
𝑠 + 1 2 =
(𝑠 + 2)𝐾1
𝑠 + 1 2 + 𝐾3
⟹ 𝐾3 = βˆ’2
⟹ π‘Œ 𝑠 =
2
𝑠 + 1
βˆ’
2
𝑠 + 2 2 βˆ’
2
𝑠 + 2
Hence
𝑦 𝑑 = 2π‘’βˆ’π‘‘
βˆ’ 2π‘‘π‘’βˆ’2𝑑
βˆ’ 2π‘’βˆ’2𝑑
(2.26)
System Dynamics and Control 2.19 Modeling in Frequency Domain
(2.23)
(2.24)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
System Dynamics and Control 2.20 Modeling in Frequency Domain
Β§2.Laplace Transform Review
𝐹 𝑠 =
2
(𝑠 + 1)(𝑠 + 2)2
Matlab F=zpk([], [-1 -2 -2],2)
Result F =
2
------------------
(s+1) (s+2)^2
Continuous-time zero/pole/gain model
(2.22)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
System Dynamics and Control 2.21 Modeling in Frequency Domain
Β§2.Laplace Transform Review
𝐹 𝑠 =
2
𝑠3 + 5𝑠2 + 8𝑠 + 4
=
2
𝑠 + 1
βˆ’
2
𝑠 + 2 2 βˆ’
2
𝑠 + 2
Matlab [r,p,k] = residue([2],[1,5,8,4])
Result r = [βˆ’2, βˆ’2, 2], p = [βˆ’2, βˆ’2, βˆ’1], k = [ ]
𝐹 𝑠 = 0
π‘˜
+ (βˆ’2)
π‘Ÿ1
1
[𝑠 βˆ’ (βˆ’2
𝑝1
)]2 + (βˆ’2
π‘Ÿ2
)
1
𝑠 βˆ’(βˆ’2
𝑝2
)
+ 2
π‘Ÿ3
1
𝑠 βˆ’(βˆ’1
𝑝3
)
= βˆ’
2
𝑠 + 2 2 βˆ’
2
𝑠 + 2
+
2
𝑠 + 1
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
In general, given an 𝐹(𝑠) whose denominator has real and
distinct roots, a partial-fraction expansion
𝐹 𝑠 =
𝑁(𝑠)
𝐷(𝑠)
=
𝑁(𝑠)
𝑠 + 𝑝1
π‘Ÿ 𝑠 + 𝑝2 … 𝑠 + 𝑝𝑖 … (𝑠 + 𝑝 𝑛)
=
𝐾1
𝑠 + 𝑝1
π‘Ÿ +
𝐾1
𝑠 + 𝑝1
π‘Ÿβˆ’1 + β‹― +
𝐾2
𝑠 + 𝑝1
+
𝐾2
𝑠 + 𝑝2
+ β‹― +
𝐾𝑖
𝑠 + 𝑝𝑖
+ β‹― +
𝐾𝑛
𝑠 + 𝑝 𝑛
β€’ multiply (2.27) by 𝑠 + 𝑝1
π‘Ÿ
to get 𝐹1 𝑠 = 𝑠 + 𝑝1
π‘Ÿ
𝐹(𝑠)
β€’ let 𝑠 approach βˆ’π‘π‘–
System Dynamics and Control 2.22 Modeling in Frequency Domain
(2.27)
To find 𝐾𝑖
𝐾𝑖 =
1
𝑖 βˆ’ 1 !
𝑑 π‘–βˆ’1
𝐹1(𝑠)
𝑑𝑠 π‘–βˆ’1
𝑠→𝑝1
𝑖 = 1,2, …, π‘Ÿ; 0! = 1
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
Case 3. Roots of the Denominator of 𝐹(𝑠) are Complex or Imaginary
𝐹 𝑠 =
3
𝑠(𝑠2 + 2𝑠 + 5)
=
𝐾1
𝑠
+
𝐾2 𝑠 + 𝐾3
𝑠2 + 2𝑠 + 5
lim
𝑠→0
[(2.31) Γ— 𝑠] ⟹ 𝐾1 = 3/5
First multiplying (2.31) by the lowest common denominator,
𝑠(𝑠2
+ 2𝑠 + 5), and clearing the fraction
3 = 𝐾1 𝑠2
+ 2𝑠 + 5 + 𝐾2 𝑠 + 𝐾3 𝑠 (2.32)
⟹ 3 = 𝐾2 +
3
5
𝑠2
+ 𝐾3 +
6
5
𝑠 + 3
Balancing the coefficients: 𝐾2 = βˆ’3/5, 𝐾3 = βˆ’6/5
𝐹 𝑠 =
3
𝑠(𝑠2 + 2𝑠 + 5)
=
3
5
1
𝑠
βˆ’
3
5
𝑠 + 2
𝑠2 + 2𝑠 + 5
System Dynamics and Control 2.23 Modeling in Frequency Domain
(2.30)
(2.33)
(2.31)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
β„’ π΄π‘’βˆ’π‘Žπ‘‘ π‘π‘œπ‘ πœ”π‘‘ + π΅π‘’βˆ’π‘Žπ‘‘ π‘ π‘–π‘›πœ”π‘‘ =
𝐡 𝑠+π‘Ž +π΅πœ”
(𝑠+π‘Ž)2+πœ”2 (Table 2.1 – 6&7)
Β§2.Laplace Transform Review
𝐹 𝑠 =
3
5
1
𝑠
βˆ’
3
5
𝑠 + 2
𝑠2 + 2𝑠 + 5
=
3
5
1
𝑠
βˆ’
3
5
𝑠 + 1 + 1/2 2
(𝑠 + 1)2+22
⟹ 𝑓 𝑑 =
3
5
βˆ’
3
5
π‘’βˆ’π‘‘
π‘π‘œπ‘ 2𝑑 +
1
2
𝑠𝑖𝑛2𝑑
or
𝑓 𝑑 = 0.6 βˆ’ 0.671π‘’βˆ’π‘‘
cos(2𝑑 βˆ’ πœ™) (2.41)
System Dynamics and Control 2.24 Modeling in Frequency Domain
(2.38)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
5
Β§2.Laplace Transform Review
𝐹 𝑠 =
2
(𝑠 + 1)(𝑠 + 2)2
𝑦 𝑑 = 2π‘’βˆ’π‘‘
βˆ’ 2π‘‘π‘’βˆ’2𝑑
βˆ’ 2π‘’βˆ’2𝑑
(2.26)
Matlab numf=2;
denf=poly([-1 -2 -2]);
[r,p,k]=residue(numf,denf)
Result r = [-2 -2 2], p = [-2 -2 -1], k = []
𝐹 𝑠 = 0
π‘˜
+ βˆ’2
π‘Ÿ1
1
[𝑠 βˆ’ (βˆ’2
𝑝1
)]2 + (βˆ’2
π‘Ÿ2
)
1
𝑠 βˆ’ (βˆ’2
𝑝2
)
+ 2
π‘Ÿ3
1
𝑠 βˆ’ (βˆ’1
𝑝3
)
= βˆ’2
1
(𝑠 + 2)2 βˆ’ 2
1
𝑠 + 2
+ 2
1
𝑠 + 1
System Dynamics and Control 2.25 Modeling in Frequency Domain
(2.22)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
𝐹 𝑠 =
3
𝑠(𝑠2 + 2𝑠 + 5)
Matlab F=tf([3],[1 2 5 0])
Result F =
3
-----------------------
s^3 + 2 s^2 + 5 s
Continuous-time transfer function
System Dynamics and Control 2.26 Modeling in Frequency Domain
(2.30)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
In general, given an 𝐹(𝑠) whose denominator has complex or
purely imaginary roots, a partial-fraction expansion
𝐹 𝑠 =
𝑁(𝑠)
𝐷(𝑠)
=
𝑁(𝑠)
𝑠 + 𝑝1 (𝑠2 + π‘Žπ‘  + 𝑏) …
=
𝐾1
(𝑠 + 𝑝1)
+
𝐾2 𝑠 + 𝐾3
(𝑠2 + π‘Žπ‘  + 𝑏)
+ β‹―
To find 𝐾𝑖
β€’ the 𝐾𝑖 ’s in (2.42) are found through balancing the
coefficients of the equation after clearing fractions
β€’ put (𝐾2 𝑠 + 𝐾3)/(𝑠2
+ π‘Žπ‘  + 𝑏) in to the form
𝐡 𝑠 + π‘Ž + π΅πœ”
(𝑠 + π‘Ž)2+πœ”2
System Dynamics and Control 2.27 Modeling in Frequency Domain
(2.42)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
𝐹 𝑠 =
3
𝑠(𝑠2 + 2𝑠 + 5)
𝑓 𝑑 =
3
5
βˆ’
3
5
π‘’βˆ’π‘‘
π‘π‘œπ‘ 2𝑑 +
1
2
𝑠𝑖𝑛2𝑑
Matlab syms s; f=ilaplace(3/(s*(s^2+2*s+5))); pretty(f)
Result f =
3/5 - (3*exp(-t)*(cos(2*t) + sin(2*t)/2))/5
/ sin(2 t) 
exp(-t) | cos(2 t) + ---------- | 3
3  2 /
- - --------------------------------------
5 5
System Dynamics and Control 2.28 Modeling in Frequency Domain
(2.30)
(2.38)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
𝐹 𝑠 =
3
𝑠(𝑠2 + 2𝑠 + 5)
𝐹 𝑠 =
3/5
𝑠
βˆ’
3
20
2+ 𝑗1
𝑠 + 1 + 𝑗2
+
2 βˆ’ 𝑗1
𝑠 + 1 + 𝑗2
Matlab numf=3; denf=[1 2 5 0]; [r,p,k]=residue(numf,denf)
Result r=[-0.3+0.15i; -0.3-0.15i; 0.6]; p=[-1+2i; -1-2i; 0]; k=[]
𝐹 𝑠 = 0
π‘˜
+ (βˆ’0.3 + 𝑗0.15)
π‘Ÿ1
1
𝑠 βˆ’ (βˆ’1 + 𝑗2
𝑝1
)
+(βˆ’0.3 βˆ’ 𝑗0.15)
π‘Ÿ2
1
𝑠 βˆ’ (βˆ’1 βˆ’ 2𝑗
𝑝2
)
+ (0.6)
π‘Ÿ3
1
𝑠 βˆ’ (0
𝑝3
)
= βˆ’
0.3 βˆ’ 𝑗0.15
𝑠 + 1 βˆ’ 2𝑗
βˆ’
0.3 + 𝑗0.15
𝑠 + 1 + 2𝑗
+ 0.6
1
𝑠
System Dynamics and Control 2.29 Modeling in Frequency Domain
(2.30)
(2.47)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
Run ch2sp1 and ch2sp2 in Appendix F
Learn how to use the Symbolic Math Toolbox to
β€’ construct symbolic objects
β€’ find the inverse Laplace transforms of frequency
functions
β€’ find the Laplace of time functions
System Dynamics and Control 2.30 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
6
Β§2.Laplace Transform Review
Skill-Assessment Ex.2.1
Problem Find the Laplace transform of
𝑓 𝑑 = π‘‘π‘’βˆ’5𝑑
Solution
𝐹 𝑠 = β„’ π‘‘π‘’βˆ’5𝑑
=
1
(𝑠 + 5)2
Matlab syms t s F; f = t*exp(-5*t); F=laplace(f, s); pretty(F)
Result 1
---------
2
(s + 5)
System Dynamics and Control 2.31 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
Skill-Assessment Ex.2.2
Problem Find the inverse Laplace transform of
𝐹 𝑠 =
10
𝑠(𝑠 + 2)(𝑠 + 3)2
Solution Expanding 𝐹(𝑠) by partial fractions
𝐹 𝑠 =
𝐴
𝑠
+
𝐡
𝑠 + 2
+
𝐢
(𝑠 + 3)2 +
𝐷
𝑠 + 3
𝐴 =
10
(𝑠 + 2)(𝑠 + 3)2
𝑠→0
=
5
9
, 𝐡 =
10
𝑠(𝑠 + 3)2
π‘ β†’βˆ’2
= βˆ’5
𝐢 =
10
𝑠(𝑠 + 2) π‘ β†’βˆ’3
=
10
3
, 𝐷 = (𝑠 + 3)2
𝑑𝐹(𝑠)
𝑑𝑠 π‘ β†’βˆ’3
=
40
9
⟹ 𝐹 𝑠 =
5
9
1
𝑠
βˆ’ 5
1
𝑠 + 2
+
10
3
1
(𝑠 + 3)2 +
40
9
1
𝑠 + 3
System Dynamics and Control 2.32 Modeling in Frequency Domain
where,
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§2.Laplace Transform Review
𝐹 𝑠 =
5
9
1
𝑠
βˆ’ 5
1
𝑠 + 2
+
10
3
1
(𝑠 + 3)2 +
40
9
1
𝑠 + 3
Taking the inverse Laplace transform
𝑓 𝑑 =
5
9
βˆ’ 5π‘’βˆ’2𝑑
+
10
3
π‘‘π‘’βˆ’3𝑑
+
40
9
π‘’βˆ’3𝑑
Matlab syms s; f=ilaplace(10/(s*(s+2)*(s+3)^2)); pretty(f)
Result exp(-3 t) 40 t exp(-3 t) 10 5
--------------- - exp(-2 t) 5 + ---------------- + -
9 3 9
System Dynamics and Control 2.33 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
- The transfer function of a component is the quotient of the
Laplace transform of the output divided by the Laplace
transform of the input, with all initial conditions assumed to be
zero
- Transfer functions are defined only for linear time invariant systems
- The input-output relationship of a control system 𝐺 𝑠 𝐢(𝑠)
π‘Ž 𝑛
𝑑 𝑛
𝑐(𝑑)
𝑑𝑑 𝑛
+ π‘Ž π‘›βˆ’1
𝑑 π‘›βˆ’1
𝑐 𝑑
𝑑𝑑 π‘›βˆ’1
+ β‹― + π‘Ž0 𝑐 𝑑
= 𝑏 π‘š
𝑑 π‘š
π‘Ÿ(𝑑)
𝑑𝑑 π‘š
+ 𝑏 π‘šβˆ’1
𝑑 π‘šβˆ’1
π‘Ÿ(𝑑)
𝑑𝑑 π‘šβˆ’1
+ β‹― + 𝑏0 π‘Ÿ 𝑑
𝑐(𝑑): output π‘Ÿ(𝑑): input π‘Žπ‘–β€™s, 𝑏𝑖’s: constant
System Dynamics and Control 2.34 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
π‘Ž 𝑛
𝑑 𝑛
𝑐(𝑑)
𝑑𝑑 𝑛
+ π‘Ž π‘›βˆ’1
𝑑 π‘›βˆ’1
𝑐 𝑑
𝑑𝑑 π‘›βˆ’1
+ β‹― + π‘Ž0 𝑐 𝑑
= 𝑏 π‘š
𝑑 π‘š
π‘Ÿ(𝑑)
𝑑𝑑 π‘š
+ 𝑏 π‘šβˆ’1
𝑑 π‘šβˆ’1
π‘Ÿ(𝑑)
𝑑𝑑 π‘šβˆ’1
+ β‹― + 𝑏0 π‘Ÿ 𝑑
- Taking the Laplace transform of both sides with zero initial
conditions
π‘Ž 𝑛 𝑠 𝑛
𝐢 𝑠 + π‘Ž π‘›βˆ’1 𝑠 π‘›βˆ’1
𝐢 𝑠 + β‹― + π‘Ž0 𝐢 𝑠
= 𝑏 π‘š 𝑠 π‘š
𝑅 𝑠 + 𝑏 π‘šβˆ’1 𝑠 π‘šβˆ’1
𝑅 𝑠 + β‹― + 𝑏0 𝑅 𝑠
- The transfer function
𝐺 𝑠 =
𝐢(𝑠)
𝑅(𝑠)
=
𝑏 π‘š 𝑠 π‘š
+ 𝑏 π‘šβˆ’1 𝑠 π‘šβˆ’1
+ β‹― + 𝑏0
π‘Ž 𝑛 𝑠 𝑛 + π‘Ž π‘›βˆ’1 𝑠 π‘›βˆ’1 + β‹― + π‘Ž0
- The output of the system can be written in the form
𝐢 𝑠 = 𝐺 𝑠 𝑅(𝑠) (2.54)
System Dynamics and Control 2.35 Modeling in Frequency Domain
(2.53)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
- Ex.2.4 Transfer Function for a Differential Equation
Find the transfer function represented by
𝑑𝑐(𝑑)
𝑑𝑑
+ 2𝑐(𝑑) = π‘Ÿ(𝑑)
Solution
Taking the Laplace transform with zero initial conditions
𝑠𝐢 𝑠 + 2𝐢(𝑠) = 𝑅(𝑠)
The transfer function
𝐺 𝑠 =
𝐢(𝑠)
𝑅(𝑠)
=
1
𝑠 + 2
System Dynamics and Control 2.36 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
7
Β§3.The Transfer Function
Run ch2p9 through ch2p12 in Appendix B
Learn how to use MATLAB to
β€’ create transfer functions with numerators and
denominators in polynomial or factored form
β€’ convert between polynomial and factored forms
β€’ plot time functions
System Dynamics and Control 2.37 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
Run ch2sp3 in Appendix F
Learn how to use the Symbolic Math Toolbox to
β€’ simplify the input of complicated transfer functions as
well as improve readability
β€’ enter a symbolic transfer function and convert it to a
linear time-invariant (LTI) object as presented in
Appendix B, ch2p9
System Dynamics and Control 2.38 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
- Ex.2.5 System Response from the Transfer Function
Given 𝐺 𝑠 = 1/(𝑠 + 2), find the response, 𝑐(𝑑) to an input,
π‘Ÿ 𝑑 = 𝑒(𝑑), a unit step, assuming zero initial conditions
Solution
For a unit step
π‘Ÿ 𝑑 = 𝑒 𝑑 ⟹ 𝑅 𝑠 = 1/𝑠
The output
𝐢 𝑠 = 𝑅 𝑠 𝐺 𝑠 =
1
𝑠
1
𝑠 + 2
Expanding by partial fractions
𝐢 𝑑 =
1
2
1
𝑠
βˆ’
1
2
1
𝑠 + 2
Taking the inverse Laplace transform
𝑐 𝑑 = 0.5 βˆ’ 0.5π‘’βˆ’2𝑑
(2.60)
System Dynamics and Control 2.39 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
𝐺 𝑠 =
1
𝑠 + 2
𝑅 𝑠 =
1
𝑠
𝑐 𝑑 =
1
2
βˆ’
1
2
π‘’βˆ’2𝑑
Matlab syms s
C=1/(s*(s+2))
C=ilaplace(C)
Result C =
1/2 - exp(-2*t)/2
𝑐 𝑑 =
1
2
βˆ’
1
2
π‘’βˆ’2𝑑
System Dynamics and Control 2.40 Modeling in Frequency Domain
(2.60)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
𝑐 𝑑 =
1
2
βˆ’
1
2
π‘’βˆ’2𝑑
Matlab t=0:0.01:1;
plot(t,(1/2-1/2*exp(-2*t)))
Result
System Dynamics and Control 2.41 Modeling in Frequency Domain
(2.60)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
Skill-Assessment Ex.2.3
Problem Find the transfer function, 𝐺 𝑠 = 𝐢(𝑠)/𝑅(𝑠), corresponding
to the differential equation
𝑑3
𝑐
𝑑𝑑3 + 3
𝑑2
𝑐
𝑑𝑑2 + 7
𝑑𝑐
𝑑𝑑
+ 5𝑐 =
𝑑2
π‘Ÿ
𝑑𝑑2 + 4
π‘‘π‘Ÿ
𝑑𝑑
+ 3π‘Ÿ
Solution Taking the Laplace transform with zero initial conditions
𝑠3
𝐢 𝑠 + 3𝑠2
𝐢 𝑠 + 7𝑠𝐢 𝑠 + 5𝐢 𝑠
= 𝑠2
𝑅 𝑠 + 4𝑠𝑅 𝑠 + 3𝑅 𝑠
Collecting terms
𝑠3
+ 3𝑠2
+ 7𝑠 + 5 𝐢 𝑠 = 𝑠2
+ 4𝑠 + 3 𝑅(𝑠)
The transfer function
𝐺 𝑠 =
𝐢(𝑠)
𝑅(𝑠)
=
𝑠2
+ 4𝑠 + 3
𝑠3 + 3𝑠2 + 7𝑠 + 5
System Dynamics and Control 2.42 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
8
Β§3.The Transfer Function
Skill-Assessment Ex.2.4
Problem Find the differential equation corresponding to the
transfer function
𝐺 𝑠 =
2𝑠 + 1
𝑠2 + 6𝑠 + 2
Solution The transfer function
𝐺 𝑠 =
𝐢(𝑠)
𝑅(𝑠)
=
2𝑠 + 1
𝑠2 + 6𝑠 + 2
Cross multiplying
𝑑2
𝑐
𝑑𝑑2 + 6
𝑑𝑐
𝑑𝑑
+ 2𝑐 = 2
π‘‘π‘Ÿ
𝑑𝑑
+ π‘Ÿ
System Dynamics and Control 2.43 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
Skill-Assessment Ex.2.5
Problem Find the ramp response for a system whose transfer
function
𝐺 𝑠 =
𝑠
(𝑠 + 4)(𝑠 + 8)
Solution For a ramp response
π‘Ÿ 𝑑 = 𝑑𝑒 𝑑 ⟹ 𝑅 𝑠 =
1
𝑠2
The output
𝐢 𝑠 = 𝑅 𝑠 𝐺 𝑠
=
1
𝑠2
𝑠
(𝑠 + 4)(𝑠 + 8)
=
𝐴
𝑠
+
𝐡
𝑠 + 4
+
𝐢
𝑠 + 8
System Dynamics and Control 2.44 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§3.The Transfer Function
𝐢 𝑠 =
1
𝑠(𝑠 + 4)(𝑠 + 8)
=
𝐴
𝑠
+
𝐡
𝑠 + 4
+
𝐢
𝑠 + 8
𝐴 =
1
(𝑠 + 4)(𝑠 + 8) 𝑠→0
=
1
32
𝐡 =
1
𝑠(𝑠 + 8) π‘ β†’βˆ’4
= βˆ’
1
16
𝐢 =
1
𝑠(𝑠 + 4) π‘ β†’βˆ’8
=
1
32
⟹ 𝐢 𝑠 =
1
32
1
𝑠
βˆ’
1
16
1
𝑠 + 4
+
1
32
1
𝑠 + 8
The ramp response
𝑐 𝑑 =
1
32
βˆ’
1
16
π‘’βˆ’4𝑑
+
1
32
π‘’βˆ’8𝑑
System Dynamics and Control 2.45 Modeling in Frequency Domain
where,
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Summarizes the components and the relationships between
voltage and current and between voltage and charge under zero
initial conditions
System Dynamics and Control 2.46 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Simple Circuits via Mesh Analysis
- Ex.2.6 Transfer Function - Single Loop via the Differential Equation
Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠)
Solution
The voltage loop
𝐿
𝑑𝑖
𝑑𝑑
+ 𝑅𝑖 +
1
𝐢 0
1
𝑖 𝜏 π‘‘πœ = 𝑣(𝑑)
Using the relationships 𝑖 𝑑 = π‘‘π‘ž(𝑑)/𝑑𝑑 and π‘ž = 𝐢𝑣 𝐢
𝐿
𝑑2
π‘ž
𝑑𝑑2 + 𝑅
π‘‘π‘ž
𝑑𝑑
+
1
𝐢
π‘ž = 𝑣(𝑑)
⟹ 𝐿𝐢
𝑑2
𝑣 𝐢
𝑑𝑑2 + 𝑅𝐢
𝑑𝑣 𝐢
𝑑𝑑
+ 𝑣 𝐢 = 𝑣(𝑑)
System Dynamics and Control 2.47 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
𝐿𝐢
𝑑2
𝑣 𝐢
𝑑𝑑2 + 𝑅𝐢
𝑑𝑣 𝐢
𝑑𝑑
+ 𝑣 𝐢 = 𝑣(𝑑)
Taking Laplace transform assuming zero initial conditions
𝐿𝐢𝑠2
+ 𝑅𝐢𝑠 + 1 𝑉𝐢 𝑠 = 𝑉(𝑠)
Solving for the transfer function
𝑉𝐢(𝑠)
𝑉(𝑠)
=
1
𝐿𝐢
𝑠2 +
𝑅
𝐿
𝑠 +
1
𝐿𝐢
Block diagram of series RLC electrical network
System Dynamics and Control 2.48 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
9
Β§4.Electrical Network Transfer Functions
Impedance
- A resistance resists or β€œimpedes” the flow of current. The
corresponding relation is 𝑣/𝑖 = 𝑅 . Capacitance and
inductance elements also impede the flow of current
- In electrical systems an impedance is a generalization of the
resistance concept and is defined as the ratio of a voltage
transform 𝑉(𝑠) to a current transform 𝐼(𝑠) and thus implies a
current source
- Standard symbol for impedance
𝑍(𝑠) ≑
𝑉(𝑠)
𝐼(𝑠)
- Kirchhoff’s voltage law to the transformed circuit
[ Sum of Impedances ] Γ— 𝐼 𝑠 = [ Sum ofApplied Voltages ] (2.72)
System Dynamics and Control 2.49 Modeling in Frequency Domain
(2.70)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
- The impedance of a resistor is its resistance
𝑍 𝑠 = 𝑅
- For a capacitor
𝑣 𝑑 =
1
𝐢 0
𝑑
𝑖𝑑𝑑 ⟹ 𝑉 𝑠 =
𝐼(𝑠)
𝐢 𝑠 𝑠
The impedance of a capacitor
𝑍 𝑠 =
1
𝐢𝑠
- For an inductor
𝑣 𝑑 = 𝐿
𝑑𝑖
𝑑𝑑
⟹ 𝑉 𝑠 = 𝐿𝐼 𝑠 𝑠
The impedance of a inductor
𝑍 𝑠 = 𝐿𝑠
System Dynamics and Control 2.50 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Series and Parallel Impedances
- The concept of impedance is useful because the impedances
of individual elements can be combined with series and
parallel laws to find the impedance at any point in the system
- The laws for combining series or parallel impedances are
extensions to the dynamic case of the laws governing series
and parallel resistance elements
System Dynamics and Control 2.51 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
- Series Impedances
β€’ Two impedances are in series if they have the same current.
If so, the total impedance is the sum of the individual
impedances 𝑖 𝑣 𝑅 𝐢
𝑍 𝑠 = 𝑍1 𝑠 + 𝑍2(𝑠)
β€’ Example: a resistor 𝑅 and capacitor 𝐢 in series have the
equivalent impedance
𝑍 𝑠 = 𝑅 +
1
𝐢𝑠
=
𝑅𝐢𝑠 + 1
𝐢𝑠
⟹
𝑉(𝑠)
𝐼(𝑠)
≑ 𝑍 𝑠 =
𝑅𝐢𝑠 + 1
𝐢𝑠
and the differential equation model is
𝐢
𝑑𝑣
𝑑𝑑
= 𝑅𝐢
𝑑𝑖
𝑑𝑑
+ 𝑖(𝑑)
System Dynamics and Control 2.52 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
- Parallel Impedances
β€’ Two impedances are in parallel if they have the same
voltage difference across them. Their impedances combine
by the reciprocal rule
1
𝑍(𝑠)
=
1
𝑍1(𝑠)
+
1
𝑍2(𝑠)
β€’ Example: a resistor 𝑅 and capacitor 𝐢 in parallel have the
equivalent impedance
1
𝑍(𝑠)
=
1
1/𝐢𝑠
+
1
𝑅
⟹
𝑉(𝑠)
𝐼(𝑠)
≑ 𝑍 𝑠 =
𝑅
𝑅𝐢𝑠 + 1
and the differential equation model is
𝑅𝐢
𝑑𝑣
𝑑𝑑
+ 𝑣 = 𝑅𝑖(𝑑)
System Dynamics and Control 2.53 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Admittance
π‘Œ 𝑠 ≑
1
𝑍(𝑠)
=
𝐼(𝑠)
𝑉(𝑠)
In general, admittance is complex
β€’ The real part of admittance is called conductance
𝐺 =
1
𝑅
β€’ The imaginary part of admittance is called susceptance
When we take the reciprocal of resistance to obtain the
admittance, a purely real quantity results. The reciprocal of
resistance is called conductance
System Dynamics and Control 2.54 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
10
Β§4.Electrical Network Transfer Functions
Instead of taking the Laplace transform of the differential
equation, we can draw the transformed circuit and obtain the
Laplace transform of the differential equation simply by
applying Kirchhoff’s voltage law to the transformed circuit
The steps are as follows
1.Redraw the original network showing all time variables, such
as 𝑣(𝑑), 𝑖(𝑑), and 𝑣 𝐢(𝑑), as Laplace transforms 𝑉(𝑠), 𝐼(𝑠), and
𝑉𝐢(𝑠), respectively
2.Replace the component values with their impedance values.
This replacement is similar to the case of dc circuits, where
we represent resistors with their resistance values
System Dynamics and Control 2.55 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
- Ex.2.7 Transfer Function - Single Loop via Transform Method
Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠)
Solution
The mess equation using impedances
𝐿𝑠 + 𝑅 +
1
𝐢𝑠
𝐼 𝑠 = 𝑉(𝑠)
⟹
𝐼(𝑠)
𝑉(𝑠)
=
1
𝐿𝑠 + 𝑅 +
1
𝐢𝑠
The voltage across the capacitor
𝑉𝐢 𝑠 = 𝐼(𝑠)
1
𝐢𝑠
⟹ 𝑉𝐢(𝑠)/𝑉(𝑠)
System Dynamics and Control 2.56 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Simple Circuits via Nodal Analysis
- Ex.2.8 Transfer Function - Single Node via Transform Method
Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠)
Solution
The transfer function can be obtained by
summing currents flowing out of the node
whose voltage is 𝑉𝐢(𝑠)
𝑉𝐢(𝑠)
1/𝐢𝑠
+
𝑉𝐢 𝑠 βˆ’ 𝑉(𝑠)
𝑅 + 𝐿𝑠
= 0
: the current flowing out of the node through the
capacitor
: the current flowing out of the node through the
series resistor and inductor
System Dynamics and Control 2.57 Modeling in Frequency Domain
⟹
𝑉𝐢(𝑠)
𝑉(𝑠)
𝑉𝐢(𝑠)
𝐼/𝐢𝑠
𝑉𝐢 𝑠 βˆ’ 𝑉(𝑠)
𝑅 + 𝐿𝑠
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Complex Circuits via Mesh Analysis
To solve complex electrical networks - those with multiple loops
and nodes – using mesh analysis
1.Replace passive element values with their impedances
2.Replace all sources and time variables with their Laplace
transform
3.Assume a transform current and a current direction in each
mesh
4.Write Kirchhoff’s voltage law around each mesh
5.Solve the simultaneous equations for the output
6.Form the transfer function
System Dynamics and Control 2.58 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
- Ex.2.10 Transfer Function – Multiple Loops
Find the transfer function 𝐼2(𝑠)/𝑉(𝑠)
Solution
Convert the network into
Laplace transforms
Summing voltages around
each mesh through which
the assumed currents flow
𝑅1 𝐼1 + 𝐿𝑠𝐼1 βˆ’ 𝐿𝑠𝐼2 = 𝑉
𝐿𝑠𝐼2 + 𝑅2 𝐼2 +
1
𝐢𝑠
𝐼2 βˆ’ 𝐿𝑠𝐼1 = 0
𝑅1 + 𝐿𝑠 𝐼1 βˆ’ 𝐿𝑠𝐼2 = 𝑉
βˆ’πΏπ‘ πΌ1 + 𝐿𝑠 + 𝑅2 +
1
𝐢𝑠
𝐼2 = 0
System Dynamics and Control 2.59 Modeling in Frequency Domain
or
(2.80)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Cramer’s Rule
Consider a system of 𝑛 linear equations for 𝑛 unknowns,
represented in matrix multiplication form as follows
𝐴π‘₯ = 𝑏
𝐴 : (𝑛 Γ— 𝑛) matrix has a nonzero determinant
π‘₯ : the column vector of the variables π‘₯ = (π‘₯1, …, π‘₯ 𝑛) 𝑇
𝑏 : the column vector of known parameters
The system has a unique solution, whose individual values for
the unknowns are given by
π‘₯𝑖 =
det(𝐴𝑖)
det(𝐴)
, 𝑖 = 1, … , 𝑛
𝐴𝑖 : the matrix formed by replacing the 𝑖th column of 𝐴 by the
column vector 𝑏
System Dynamics and Control 2.60 Modeling in Frequency Domain
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1/11/2016
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Β§4.Electrical Network Transfer Functions
𝑅1 + 𝐿𝑠 𝐼1 βˆ’ 𝐿𝑠𝐼2 = 𝑉
βˆ’πΏπ‘ πΌ1 + 𝐿𝑠 + 𝑅2 +
1
𝐢𝑠
𝐼2 = 0
Using Cramer’s rule
𝐼2 =
𝑅1 + 𝐿𝑠 𝑉
βˆ’πΏπ‘  0
𝑅1 + 𝐿𝑠 βˆ’πΏπ‘ 
βˆ’πΏπ‘  𝐿𝑠 + 𝑅2 +
1
𝐢𝑠
=
0 βˆ’ 𝐿𝑠𝑉
𝑅1 + 𝐿𝑠 𝐿𝑠 + 𝑅2 +
1
𝐢𝑠
βˆ’ 𝐿2 𝑠2
=
𝐿𝐢𝑠2
𝑉
𝑅1 + 𝑅2 𝐿𝐢𝑠2 + 𝑅1 𝑅2 𝐢 + 𝐿 𝑠 + 𝑅1
System Dynamics and Control 2.61 Modeling in Frequency Domain
(2.80)
(2.81)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
𝐼2 =
𝐿𝐢𝑠2
𝑉
𝑅1 + 𝑅2 𝐿𝐢𝑠2 + 𝑅1 𝑅2 𝐢 + 𝐿 𝑠 + 𝑅1
Forming the transfer function
𝐺 𝑠 =
𝐼2 𝑠
𝑉(𝑠)
=
𝐿𝐢𝑠2
𝑅1 + 𝑅2 𝐿𝐢𝑠2 + 𝑅1 𝑅2 𝐢 + 𝐿 𝑠 + 𝑅1
The network is now modeled as the transfer function of figure
System Dynamics and Control 2.62 Modeling in Frequency Domain
(2.82)
(2.81)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Note
𝑅1 + 𝐿𝑠 𝐼1 βˆ’ 𝐿𝑠𝐼2 = 𝑉
βˆ’πΏπ‘ πΌ1 + 𝐿𝑠 + 𝑅2 +
1
𝐢𝑠
𝐼2 = 0
System Dynamics and Control 2.63 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Run ch2sp4 in Appendix F
Learn how to use the Symbolic Math Toolbox to
β€’ solve simultaneous equations using Cramer’s rule
β€’ solve for the transfer function in Eq. (2.82) using Eq.
(2.80)
System Dynamics and Control 2.64 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Complex Circuits via Nodal Analysis
- Ex.2.11 Transfer Function – Multiple Nodes
Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠)
Solution
Sum of currents flowing from
the nodes marked 𝑉𝐿(𝑠) and
𝑉𝐢(𝑠)
𝑉𝐿 βˆ’ 𝑉
𝑅1
+
𝑉𝐿
𝐿𝑠
+
𝑉𝐿 βˆ’ 𝑉𝐢
𝑅2
= 0
𝑉𝐢
1/𝐢𝑠
+
𝑉𝐢 βˆ’ 𝑉𝐿
𝑅2
= 0
𝐺1 + 𝐺2 +
1
𝐿𝑠
𝑉𝐿 βˆ’ 𝐺2 𝑉𝐢 = 𝑉𝐺1
βˆ’πΊ2 𝑉𝐿 + 𝐺2 + 𝐢𝑠 𝑉𝐢 = 0
System Dynamics and Control 2.65 Modeling in Frequency Domain
or
(2.86)
(2.85)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
𝐺1 + 𝐺2 +
1
𝐿𝑠
𝑉𝐿 βˆ’ 𝐺2 𝑉𝐢 = 𝑉𝐺1
βˆ’πΊ2 𝑉𝐿 + 𝐺2 + 𝐢𝑠 𝑉𝐢 = 0
Solving for the transfer function
𝑉𝐢(𝑠)
𝑉(𝑠)
=
𝐺1 𝐺2
𝐢
𝑠
𝐺1 + 𝐺2 𝑠2 +
𝐺1 𝐺2 𝐿 + 𝐢
𝐿𝐢
𝑠 +
𝐺2
𝐿𝐢
Block diagram of the network
System Dynamics and Control 2.66 Modeling in Frequency Domain
(2.86)
(2.87)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
12
Β§4.Electrical Network Transfer Functions
- Another way to write node equations is to replace voltage
sources by current sources. In order to handle multiple-node
electrical networks, we can perform the following steps
1.Replace passive element values with their admittances
2.Replace all sources and time variables with their Laplace
transform
3.Replace transformed voltage sources with transformed
current sources
4.Write Kirchhoff’s current law at each node
5.Solve the simultaneous equations for the output
6.Form the transfer function
System Dynamics and Control 2.67 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Norton's Theorem
Any collection of batteries and resistances with two terminals is electrically equivalent
to an ideal current source 𝑖 in parallel with a single resistor π‘Ÿ. The value of π‘Ÿ is the
same as that in the Thevenin equivalent and the current 𝑖 can be found by dividing the
open circuit voltage by π‘Ÿ
Β§4.Electrical Network Transfer Functions
- Ex.2.12 Transfer Function – Multiple Nodes with Current Sources
Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠)
Solution
Convert all impedances to
admittances and all voltage
sources in series with an
impedance to current
sources in parallel with an
admittance using Norton’s
theorem
System Dynamics and Control 2.68 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Using the general relationship 𝐼 𝑠 =
π‘Œ 𝑠 𝑉(𝑠) and summing currents at the
node 𝑉𝐿(𝑠)
𝐺1 𝑉𝐿 𝑠 +
1
𝐿𝑠
𝑉𝐿 𝑠 + 𝐺2 𝑉𝐿 𝑠 βˆ’ 𝑉𝐢 𝑠 = 𝐺1 𝑉(𝑠)
Summing the currents at the node 𝑉𝐢(𝑠)
𝐢𝑉𝐢 𝑠 + 𝐺2 𝑉𝐢 𝑠 βˆ’ 𝑉𝐿 𝑠 = 0 (2.89)
Solving (2.88) and (2.89), forming the transfer function
𝑉𝐢(𝑠)
𝑉(𝑠)
=
𝐺1 𝐺2
𝐢
𝑠
𝐺1 + 𝐺2 𝑠2 +
𝐺1 𝐺2 𝐿 + 𝐢
𝐿𝐢
𝑠 +
𝐺2
𝐿𝐢
System Dynamics and Control 2.69 Modeling in Frequency Domain
(2.88)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Note
𝐺1 𝑉𝐿 𝑠 +
1
𝐿𝑠
𝑉𝐿 𝑠 + 𝐺2 𝑉𝐿 𝑠 βˆ’ 𝑉𝐢 𝑠 = 𝐺1 𝑉(𝑠)
𝐢𝑉𝐢 𝑠 + 𝐺2 𝑉𝐢 𝑠 βˆ’ 𝑉𝐿 𝑠 = 0 (2.89)
System Dynamics and Control 2.70 Modeling in Frequency Domain
(2.88)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
A Problem-Solving Technique
In all of the previous examples, we have seen a repeating
pattern in the equations that we can use to our advantage. If we
recognize this pattern, we need not write the equations
component by component; we can sum impedances around a
mesh in the case of mesh equations or sum admittances at a
node in the case of node equations
System Dynamics and Control 2.71 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
- Ex.2.13 Mesh Equations via Inspection
Write the mesh equations for the
network
Solution
The mesh equations for loop 1
+ 2𝑠 + 2 𝐼1 βˆ’ 2𝑠 + 1 𝐼2 βˆ’ 𝐼3 = 𝑉
(2.94.a)
System Dynamics and Control 2.72 Modeling in Frequency Domain
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1/11/2016
13
Β§4.Electrical Network Transfer Functions
The mesh equations for loop 2
βˆ’ 2𝑠 + 2 𝐼1 + 9𝑠 + 1 𝐼2 βˆ’ 4𝑠𝐼3 = 0
(2.94.b)
System Dynamics and Control 2.73 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
The mesh equations for loop 3
βˆ’πΌ1 βˆ’ 4𝑠𝐼2 + 4𝑠 + 1 +
1
𝑠
𝐼3 = 0
(2.94.c)
System Dynamics and Control 2.74 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
+ 2𝑠 + 2 𝐼1 βˆ’ 2𝑠 + 1 𝐼2 βˆ’ 𝐼3 = 𝑉 (2.94.a)
βˆ’ 2𝑠 + 2 𝐼1 + 9𝑠 + 1 𝐼2 βˆ’ 4𝑠𝐼3 = 0 (2.94.b)
βˆ’πΌ1 βˆ’ 4𝑠𝐼2 + 4𝑠 + 1 +
1
𝑠
𝐼3 = 0
Matlab syms s I1 I2 I3 V;
A=[(2*s+2) -(2*s+1) -1; -(2*s+1) (9*s+1) -4*s; -1 -4*s
(4*s+1+1/s)]; B=[I1;I2;I3]; C=[V;0;0];
B=inv(A)*C;
pretty(B)
System Dynamics and Control 2.75 Modeling in Frequency Domain
(2.94.c)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Result / 3 2 
| V (20 s + 13 s + 10 s + 1) |
| ----------------------------------- |
| #1 |
| 3 2 |
| V (8 s + 10 s + 3 s + 1) |
| -------------------------------- |
| #1 |
| 2 |
| V s (8 s + 13 s + 1) |
| -------------------------- |
 #1 /
where
4 3 2
#1 == 24 s + 30 s + 17 s + 16 s + 1
System Dynamics and Control 2.76 Modeling in Frequency Domain
20𝑠3
+ 13𝑠2
+ 10𝑠 + 1 𝑉
24𝑠4 + 30𝑠3 + 17𝑠2 + 16𝑠 + 1
8𝑠3
+ 10𝑠2
+ 3𝑠 + 1 𝑉
24𝑠4 + 30𝑠3 + 17𝑠2 + 16𝑠 + 1
𝑠 8𝑠2 + 13𝑠 + 1 𝑉
24𝑠4 + 30𝑠3 + 17𝑠2 + 16𝑠 + 1
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Operational Amplifiers
- An operational amplifier (op-amp) is an electronic amplifier
used as a basic building block to implement transfer functions
- Op-amp has the following characteristics
1.Differential input, 𝑣2 𝑑 βˆ’ 𝑣1 𝑑
2.High input impedance, 𝑍𝑖 = ∞ (ideal)
3.Low output impedance, 𝑍 π‘œ = 0 (ideal)
4.High constant gain amplification, 𝐴 = ∞ (ideal)
- The output, 𝑣 π‘œ(𝑑), is given by
𝑣 π‘œ 𝑑 = 𝐴[𝑣2 𝑑 βˆ’ 𝑣1 𝑑 ] (2.95)
System Dynamics and Control 2.77 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Inverting Operational Amplifiers
- If 𝑣2(𝑑) is grounded, the amplifier is called an inverting
operational amplifier
- The output, 𝑣 π‘œ(𝑑), is given by
𝑣 π‘œ 𝑑 = βˆ’π΄π‘£1 𝑑 (2.96)
System Dynamics and Control 2.78 Modeling in Frequency Domain
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1/11/2016
14
Β§4.Electrical Network Transfer Functions
Inverting Operational Amplifiers
𝑍𝑖 𝑠 = ∞ β†’ 𝐼 π‘Ž(𝑠) = 0
𝐼1 𝑠 = βˆ’πΌ2 𝑠
𝐴 = ∞ β†’ 𝑣1 𝑑 β‰ˆ 0
𝐼1 𝑠 =
𝑉𝑖 𝑠
𝑍1 𝑠
= βˆ’πΌ2 𝑠 = βˆ’
π‘‰π‘œ 𝑠
𝑍2 𝑠
The transfer function of the inverting operational amplifier
π‘‰π‘œ(𝑠)
𝑉𝑖(𝑠)
= βˆ’
𝑍2(𝑠)
𝑍1(𝑠)
System Dynamics and Control 2.79 Modeling in Frequency Domain
(2.97)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
- Ex.2.14 Transfer Function – Inverting Op-Amp Circuit
Find the transfer function π‘‰π‘œ(𝑠)/𝑉𝑖(𝑠)
Solution
The impedances
1
𝑍1
=
1
1/𝐢1 𝑠
+
1
𝑅1
β†’ 𝑍1 =
1
𝐢1 𝑠 +
1
𝑅1
=
360 Γ— 103
2.016𝑠 + 1
𝑍2 = 𝑅2 +
1
𝐢2 𝑠
= 220 Γ— 103
+
107
𝑠
The transfer function
π‘‰π‘œ(𝑠)
𝑉𝑖(𝑠)
= βˆ’
𝑍2 𝑠
𝑍1 𝑠
= βˆ’
360 Γ— 103
2.016𝑠 + 1
220 Γ— 103 +
107
𝑠
= βˆ’1.232
𝑠2
+ 45.95𝑠 + 22.55
𝑠
System Dynamics and Control 2.80 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
Noninverting Operational Amplifiers
π‘‰π‘œ = 𝐴 𝑉𝑖 βˆ’ 𝑉1
𝑉1 =
𝑍1
𝑍1 + 𝑍2
π‘‰π‘œ
The transfer function of the noninverting operational amplifier
π‘‰π‘œ(𝑠)
𝑉𝑖(𝑠)
=
𝑍1 𝑠 + 𝑍2(𝑠)
𝑍1(𝑠)
System Dynamics and Control 2.81 Modeling in Frequency Domain
(2.104)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§4.Electrical Network Transfer Functions
- Ex.2.15 Transfer Function – Noninverting Op-Amp Circuit
Find the transfer function π‘‰π‘œ(𝑠)/𝑉𝑖(𝑠)
Solution
The impedances
𝑍1 = 𝑅1 +
1
𝐢1 𝑠
𝑍2 =
𝑅2
1
𝐢2 𝑠
𝑅2 +
1
𝐢2 𝑠
The transfer function
π‘‰π‘œ(𝑠)
𝑉𝑖(𝑠)
=
𝑍1 𝑠 + 𝑍2(𝑠)
𝑍1(𝑠)
=
𝐢2 𝐢1 𝑅2 𝑅1 𝑠2
+ (𝐢2 𝑅2 + 𝐢1 𝑅2 + 𝐢1 𝑅1)𝑠 + 1
𝐢2 𝐢1 𝑅2 𝑅1 𝑠2 + 𝐢2 𝑅2 + 𝐢1 𝑅1 𝑠 + 1
System Dynamics and Control 2.82 Modeling in Frequency Domain
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Β§4.Electrical Network Transfer Functions
Skill Assessment Ex.2.6
Problem Find 𝐺 𝑠 = 𝑉𝐿(𝑠)/𝑉(𝑠) using mesh and nodal analysis
Solution
Mesh analysis
Writing the mesh equations
𝑠 + 1 𝐼1 βˆ’ 𝑠𝐼2 βˆ’ 𝐼3 = 𝑉
βˆ’π‘ πΌ1 + 2𝑠 + 1 𝐼2 βˆ’ 𝐼3 = 0
βˆ’πΌ1 βˆ’ 𝐼2 + 𝑠 + 2 𝐼3 = 0
System Dynamics and Control 2.83 Modeling in Frequency Domain
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Β§4.Electrical Network Transfer Functions
𝑠 + 1 𝐼1 βˆ’ 𝑠𝐼2 βˆ’ 𝐼3 = 𝑉
βˆ’π‘ πΌ1 + 2𝑠 + 1 𝐼2 βˆ’ 𝐼3 = 0
βˆ’πΌ1 βˆ’ 𝐼2 + 𝑠 + 2 𝐼3 = 0
Solving the mesh equation for 𝐼2
𝐼2 =
𝑠 + 1 𝑉 βˆ’1
βˆ’π‘  0 βˆ’1
βˆ’1 0 𝑠 + 2
𝑠 + 1 βˆ’π‘  βˆ’1
βˆ’π‘  2𝑠 + 1 βˆ’1
βˆ’1 βˆ’1 𝑠 + 2
=
𝑠2
+ 2𝑠 + 1 𝑉
𝑠(𝑠2 + 5𝑠 + 2)
The voltage across 𝐿
𝑉𝐿 = 𝑠𝐼2 =
𝑠2
+ 2𝑠 + 1 𝑉
𝑠2 + 5𝑠 + 2
⟹ 𝐺 𝑠 =
𝑉𝐿
𝑉
=
𝑠2
+ 2𝑠 + 1
𝑠2 + 5𝑠 + 2
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Β§4.Electrical Network Transfer Functions
Nodal analysis
Writing the nodal equations
1
𝑠
+ 2 𝑉1 βˆ’ 𝑉𝐿 = 𝑉
βˆ’π‘‰1 +
2
𝑠
+ 1 𝑉𝐿 =
1
𝑠
𝑉
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Β§4.Electrical Network Transfer Functions
1
𝑠
+ 2 𝑉1 βˆ’ 𝑉𝐿 = 𝑉
βˆ’π‘‰1 +
2
𝑠
+ 1 𝑉𝐿 =
1
𝑠
𝑉
Solving the nodal equation for 𝑉𝐿
𝑉𝐿 =
1
𝑠
+ 2 𝑉
βˆ’1
1
𝑠
1
𝑠
+ 2 βˆ’1
βˆ’1
2
𝑠
+ 1
=
𝑠2
+ 2𝑠 + 1 𝑉
𝑠2 + 5𝑠 + 2
⟹ 𝐺 𝑠 =
𝑉𝐿
𝑉
=
𝑠2
+ 2𝑠 + 1
𝑠2 + 5𝑠 + 2
System Dynamics and Control 2.86 Modeling in Frequency Domain
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Β§4.Electrical Network Transfer Functions
Skill Assessment Ex.2.7
Problem If 𝑍1(𝑠)is the impedance of a 10πœ‡πΉ capacitor and 𝑍2(𝑠)
is the impedance of a 100π‘˜Ξ© resistor, find the transfer
function, 𝐺 𝑠 = π‘‰π‘œ(𝑠)/𝑉𝑖(𝑠) if these components are
used with (a) an inverting op-amp and (b) a
noninverting op-amp
Solution
𝑍1 = 𝑍 𝐢 =
1
𝐢𝑠
=
1
10βˆ’5 𝑠
=
105
𝑠
𝑍2 = 𝑍 𝑅 = 𝑅 = 105
System Dynamics and Control 2.87 Modeling in Frequency Domain
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Β§4.Electrical Network Transfer Functions
(a) Inverting Op-Amp
𝐺 𝑠 = βˆ’
𝑍2
𝑍1
= βˆ’
105
105
𝑠
= βˆ’π‘ 
(b) Noninverting Op-Amp
𝐺 𝑠 =
𝑍1 + 𝑍2
𝑍1
=
105
𝑠
+ 105
105
𝑠
= 𝑠 + 1
System Dynamics and Control 2.88 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
System Dynamics and Control 2.89 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
- Ex.2.16 Transfer Function - One Equation of Motion
Find the transfer function 𝑋(𝑠)/𝐹(𝑠)
Solution
Free body diagram
Using Newton’s law to sum all of the forces
𝑀
𝑑2
π‘₯(𝑑)
𝑑𝑑2 + 𝑓𝑣
𝑑π‘₯(𝑑)
𝑑𝑑
+ 𝐾π‘₯ 𝑑 = 𝑓(𝑑)
Taking Laplace transform
𝑀𝑠2
𝑋 𝑠 + 𝑓𝑣 𝑠𝑋 𝑠 + 𝐾𝑋 𝑠 = 𝐹(𝑠)
The transfer function
𝐺(𝑠) =
𝑋(𝑠)
𝐹(𝑠)
=
𝐹 𝑠
𝑀𝑠2 + 𝑓𝑣 𝑠 + 𝐾
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Β§5.Translational Mechanical System Transfer Functions
Impedance
- Define impedance for mechanical components
𝑍 𝑀 𝑠 ≑
𝐹 𝑠
𝑋 𝑠
⟹ 𝐹 𝑠 = 𝑍 𝑀 𝑠 𝑋 𝑠
Sum of Impedances Γ— 𝑋(𝑠) = Sum of Applied Forces
- The impedance of a spring is its stiffness coefficient
𝐹 𝑠 = 𝐾𝑋 𝑠 ⟹ 𝑍 𝑀 𝑠 = 𝐾 (2.112)
- For the viscous damper
𝐹 𝑠 = 𝑓𝑣 𝑠𝑋 𝑠 ⟹ 𝑍 𝑀 𝑠 = 𝑓𝑣 𝑠 (2.113)
- For the mass
𝐹 𝑠 = 𝑀𝑠2
𝑋 𝑠 ⟹ 𝑍 𝑀 𝑠 = 𝑀𝑠2
(2.114)
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Β§5.Translational Mechanical System Transfer Functions
- Ex.2.17 Transfer Function - Two Degrees of Freedom
Find the transfer function
𝑋2(𝑠)/𝐹(𝑠)
Solution
Free body diagram of 𝑀1
The Laplace transform of the equation of motion of 𝑀1
+ 𝑀1 𝑠2
+ 𝑓𝑣1
+ 𝑓𝑣3
𝑠 + 𝐾1 + 𝐾2 𝑋1 βˆ’ 𝑓𝑣3
𝑠 + 𝐾2 𝑋2 = 𝐹
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Β§5.Translational Mechanical System Transfer Functions
Free body diagram of 𝑀2
The Laplace transform of the equation of motion of 𝑀2
βˆ’ 𝑓𝑣3
𝑠 + 𝐾2 𝑋1 + 𝑀2 𝑠2
+ 𝑓𝑣2
+ 𝑓𝑣3
𝑠 + 𝐾2 + 𝐾3 𝑋2 = 0
System Dynamics and Control 2.93 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
The Laplace transform of the equations of motion
+ 𝑀1 𝑠2
+ 𝑓𝑣1
+ 𝑓𝑣3
𝑠 + 𝐾1 + 𝐾2 𝑋1 βˆ’ 𝑓𝑣3
𝑠 + 𝐾2 𝑋2 = 𝐹
βˆ’ 𝑓𝑣3
𝑠 + 𝐾2 𝑋1 + 𝑀2 𝑠2
+ 𝑓𝑣2
+ 𝑓𝑣3
𝑠 + 𝐾2 + 𝐾3 𝑋2 = 0
The Laplace transform of the equations of motion
𝑋2 =
𝑀1 𝑠2
+ 𝑓𝑣1
+ 𝑓𝑣3
𝑠 + 𝐾1 + 𝐾2 𝐹
βˆ’ 𝑓𝑣3
𝑠 + 𝐾2 0
βˆ†
=
𝑓𝑣3
𝑠 + 𝐾2 𝐹
βˆ†
where
βˆ† =
𝑀1 𝑠2
+ 𝑓𝑣1
+𝑓𝑣3
𝑠+ 𝐾1 +𝐾2 βˆ’ 𝑓𝑣3
𝑠 + 𝐾2
βˆ’ 𝑓𝑣3
𝑠 + 𝐾2 𝑀2 𝑠2
+ 𝑓𝑣2
+𝑓𝑣3
𝑠+ 𝐾2 +𝐾3
The transfer function
𝐺 𝑠 =
𝑋2(𝑠)
𝐹(𝑠)
=
𝑓𝑣3
𝑠 + 𝐾2
βˆ†
System Dynamics and Control 2.94 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
Note
The Laplace transform of the equations of motion of 𝑀1
+ 𝑀1 𝑠2
+ 𝑓𝑣1
+ 𝑓𝑣3
𝑠 + 𝐾1 + 𝐾2 𝑋1 βˆ’ 𝑓𝑣3
𝑠 + 𝐾2 𝑋2 = 𝐹
The Laplace transform of the equations of motion of 𝑀2
βˆ’ 𝑓𝑣3
𝑠 + 𝐾2 𝑋1 + 𝑀2 𝑠2
+ 𝑓𝑣2
+ 𝑓𝑣3
𝑠 + 𝐾2 + 𝐾3 𝑋2 = 0
System Dynamics and Control 2.95 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
- Ex.2.18 Equations of Motion by Inspection
Write the equations of
motion for the mechanical
network
Solution
The Laplace transform of the equations of motion of 𝑀1
+ 𝑀1 𝑠2
+ 𝑓𝑣1
+ 𝑓𝑣3
𝑠 + 𝐾1 + 𝐾2 𝑋1 βˆ’ 𝐾2 𝑋2 βˆ’ 𝑓𝑣3
𝑋3 = 0
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Β§5.Translational Mechanical System Transfer Functions
The Laplace transform of the equations of motion of 𝑀2
βˆ’πΎ2 𝑋1 + [𝑀2 𝑠2
+ 𝑓𝑣2
+ 𝑓𝑣4
𝑠 + 𝐾2]𝑋2 βˆ’ 𝑓𝑣4
𝑠𝑋3 = 𝐹
System Dynamics and Control 2.97 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
The Laplace transform of the equations of motion of 𝑀3
βˆ’π‘“π‘£3
𝑠𝑋1 βˆ’ 𝑓𝑣4
𝑠𝑋2 + [𝑀3 𝑠2
+ 𝑓𝑣3
+ 𝑓𝑣4
𝑠]𝑋3 = 0
System Dynamics and Control 2.98 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
Skill-Assessment Ex.2.8
Problem Find the transfer
function
𝐺 𝑠 =
𝑋2(𝑠)
𝐹(𝑠)
Solution
+ 𝑀1 𝑠2
+ 𝑓𝑣1
+ 𝑓𝑣2
+ 𝑓𝑣3
𝑠 + 𝐾 𝑋1
βˆ’ 𝑓𝑣1
+ 𝑓𝑣2
+ 𝑓𝑣3
𝑠 + 𝐾 𝑋2 = 𝐹
⟹ +(𝑠2
+ 3𝑠 + 1)𝑋1 βˆ’ (3𝑠 + 1)𝑋2 = 𝐹
System Dynamics and Control 2.99 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
βˆ’ 𝑓𝑣1
+ 𝑓𝑣2
+ 𝑓𝑣3
𝑠 + 𝐾 𝑋1
+ 𝑀2 𝑠2
+ 𝑓𝑣1
+ 𝑓𝑣2
+ 𝑓𝑣3
+ 𝑓𝑣4
𝑠 + 𝐾 𝑋2 = 0
⟹ βˆ’(3𝑠 + 1)𝑋1 + (𝑠2
+ 4𝑠 + 1)𝑋2 = 0
System Dynamics and Control 2.100 Modeling in Frequency Domain
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Β§5.Translational Mechanical System Transfer Functions
+ 𝑠2
+ 3𝑠 + 1 𝑋1 βˆ’ 3𝑠 + 1 𝑋2 = 𝐹
βˆ’(3𝑠 + 1)𝑋1 + (𝑠2
+ 4𝑠 + 1)𝑋2 = 0
The solution for 𝑋2
𝑋2 =
𝑠2
+ 3𝑠 + 1 𝐹
βˆ’ 3𝑠 + 1 0
βˆ†
=
3𝑠 + 1 𝐹
βˆ†
where
βˆ†=
𝑠2
+ 3𝑠 + 1 βˆ’ 3𝑠 + 1
βˆ’ 3𝑠 + 1 𝑠2
+ 4𝑠 + 1
= 𝑠(𝑠3
+ 7𝑠2
+ 5𝑠 + 1)
⟹ 𝐺 𝑠 =
𝑋2(𝑠)
𝐹(𝑠)
=
3𝑠 + 1
𝑠(𝑠3 + 7𝑠2 + 5𝑠 + 1)
System Dynamics and Control 2.101 Modeling in Frequency Domain
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Β§6.Rotational Mechanical System Transfer Functions
System Dynamics and Control 2.102 Modeling in Frequency Domain
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Β§6.Rotational Mechanical System Transfer Functions
- Ex.2.19 Transfer Function – Two Equations of Motion
Find the transfer function, πœƒ2(𝑠)/𝑇(𝑠), for the rotational system
shown in figure. The rod is supported by bearings at either end
and is undergoing torsion. A torque is applied at the left, and
the displacement is measured at the right
Solution
First, obtain the schematic from the physical system
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Β§6.Rotational Mechanical System Transfer Functions
Next, draw a free-body diagram of 𝐽1 và 𝐽2, using superposition
𝐽1 𝑠2
+ 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠) (2.127.a)
βˆ’πΎ1 πœƒ1 𝑠 + (𝐽2 𝑠2
+ 𝐷2 𝑠 + 𝐾)πœƒ2 𝑠 = 0 (2.127.b)
System Dynamics and Control 2.104 Modeling in Frequency Domain
Final free-body diagram for 𝐽2
Torques on 𝐽2 due only
to the motion of 𝐽2
Torques on 𝐽2 due only
to the motion of 𝐽1
Final free-body diagram for 𝐽1
Torques on 𝐽1 due only
to the motion of 𝐽1
Torques on 𝐽1 due only
to the motion of 𝐽2
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§6.Rotational Mechanical System Transfer Functions
𝐽1 𝑠2
+ 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠)(2.127.a)
βˆ’πΎ1 πœƒ1 𝑠 + (𝐽2 𝑠2
+ 𝐷2 𝑠 + 𝐾)πœƒ2 𝑠 = 0 (2.127.b)
The solution for πœƒ2
πœƒ2 =
𝐽1 𝑠2
+ 𝐷1 𝑠 + 𝐾 𝑇
βˆ’πΎ 0
βˆ†
=
𝐾𝑇
βˆ†
where
βˆ†=
𝐽1 𝑠2
+ 𝐷1 𝑠 + 𝐾 βˆ’πΎ
βˆ’πΎ 𝐽2 𝑠2
+ 𝐷2 𝑠 + 𝐾
⟹ 𝐺 𝑠 =
πœƒ2(𝑠)
𝑇(𝑠)
=
𝐾
βˆ†
System Dynamics and Control 2.105 Modeling in Frequency Domain
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Β§6.Rotational Mechanical System Transfer Functions
Note
𝐽1 𝑠2
+ 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠) (2.127.a)
βˆ’πΎ1 πœƒ1 𝑠 + (𝐽2 𝑠2
+ 𝐷2 𝑠 + 𝐾)πœƒ2 𝑠 = 0 (2.127.b)
System Dynamics and Control 2.106 Modeling in Frequency Domain
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Β§6.Rotational Mechanical System Transfer Functions
- Ex.2.20 Equations of Motion by Inspection
Write the Laplace transform of the equations of motion for the
system shown in the figure
Solution
The Laplace transform of the equations of motion of 𝐽1
+ 𝐽1 𝑠2
+ 𝐷1 𝑠 + 𝐾 πœƒ1 βˆ’ πΎπœƒ2 βˆ’ 0πœƒ3 = 𝑇(𝑠) (2.131.a)
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Β§6.Rotational Mechanical System Transfer Functions
The Laplace transform of the equations of motion of 𝐽2
βˆ’πΎπœƒ1 + 𝐽2 𝑠2
+ 𝐷2 𝑠 + 𝐾 πœƒ2 βˆ’ 𝐷2 π‘ πœƒ3 = 0 (2.131.b)
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Β§6.Rotational Mechanical System Transfer Functions
The Laplace transform of the equations of motion of 𝐽3
βˆ’0πœƒ1 βˆ’ 𝐷2 π‘ πœƒ2 + 𝐽3 𝑠2
+ 𝐷3 𝑠 + 𝐷2 𝑠 πœƒ3 = 0 (2.131.c)
System Dynamics and Control 2.109 Modeling in Frequency Domain
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Β§6.Rotational Mechanical System Transfer Functions
Skill-Assessment Ex.2.9
Problem
Find the transfer function
𝐺 𝑠 =
πœƒ2(𝑠)
𝑇(𝑠)
Solution
The equations of motion
+ 𝑠2
+ 𝑠 + 1 πœƒ1 𝑠 βˆ’ (𝑠 + 1)πœƒ2 𝑠 = 𝑇(𝑠)
βˆ’ 𝑠 + 1 πœƒ1 𝑠 + (2𝑠 + 2)πœƒ2 𝑠 = 0
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Β§6.Rotational Mechanical System Transfer Functions
The equations of motion
𝑠2
+ 𝑠 + 1 πœƒ1 𝑠 βˆ’ (𝑠 + 1)πœƒ2 𝑠 = 𝑇(𝑠)
βˆ’ 𝑠 + 1 πœƒ1 𝑠 + (2𝑠 + 2)πœƒ2 𝑠 = 0
Solving for πœƒ2(𝑠)
πœƒ2 =
𝑠2
+ 𝑠 + 1 𝑇
βˆ’ 𝑠 + 1 0
𝑠2 + 𝑠 + 1 βˆ’(𝑠 + 1)
βˆ’ 𝑠 + 1 2𝑠 + 2
=
(𝑠 + 1)𝑇
2𝑠3 + 3𝑠2 + 2𝑠 + 1
⟹ 𝐺 𝑠 =
πœƒ2(𝑠)
𝑇(𝑠)
=
𝑠 + 1
2𝑠3 + 3𝑠2 + 2𝑠 + 1
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Β§7.Transfer Functions for Systems with Gears
Kinematic relationship
πœƒ2
πœƒ1
=
π‘Ÿ1
π‘Ÿ2
=
𝑁1
𝑁2
Power on gears
𝑇1 πœƒ1 = 𝑇2 πœƒ2
The ratio of torques on two gears
𝑇2
𝑇1
=
πœƒ1
πœƒ2
=
𝑁2
𝑁1
πœƒ1, πœƒ2 : rotation angles of gear 1 and 2, π‘Ÿπ‘Žπ‘‘
π‘Ÿ1, π‘Ÿ2 : radius of gear 1 and 2, π‘š
𝑁1, 𝑁2 : number of teeth of gear 1 and 2
𝑇1, 𝑇2 : torques on gear 1 and 2, π‘π‘š
System Dynamics and Control 2.112 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
What happens to mechanical impedances that are driven by gears?
(a) : gears driving a rotational inertia, spring, and viscous damper
(b) : an equivalent system at πœƒ1 without the gears
Can the mechanical impedances be reflected from the output to
the input, thereby eliminating the gears?
System Dynamics and Control 2.113 Modeling in Frequency Domain
b.equivalentsystem at the output
after reflection of input torque
a.rotational system driven by
gears
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
𝑇1 can be reflected to the output by multiplying by 𝑁2/𝑁1
𝐽𝑠2
+ 𝐷𝑠 + 𝐾 πœƒ2 𝑠 = 𝑇1(𝑠)
𝑁2
𝑁1
Convert πœƒ2(𝑠) into an equivalent πœƒ1(𝑠), so that
𝐽𝑠2
+ 𝐷𝑠 + 𝐾
𝑁1
𝑁2
πœƒ1 𝑠 = 𝑇1(𝑠)
𝑁2
𝑁1
System Dynamics and Control 2.114 Modeling in Frequency Domain
b.equivalentsystem at the output
after reflection of input torque
a.rotational system driven by
gears
(2.131)
(2.132)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
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Β§7.Transfer Functions for Systems with Gears
𝐽𝑠2
+ 𝐷𝑠 + 𝐾 πœƒ2 𝑠 = 𝑇1(𝑠)(𝑁2/𝑁1) (2.131)
𝐽𝑠2
+ 𝐷𝑠 + 𝐾 (𝑁2/𝑁1)πœƒ1 𝑠 = 𝑇1(𝑠)(𝑁2/𝑁1) (2.132)
⟹ 𝐽
𝑁1
𝑁2
2
𝑠2
+ 𝐷
𝑁1
𝑁2
2
𝑠 + 𝐾
𝑁1
𝑁2
2
πœƒ1 𝑠 = 𝑇1(𝑠)
Thus, the load can be thought of as having been reflected from
the output to the input
System Dynamics and Control 2.115 Modeling in Frequency Domain
(2.133)
b.equivalentsystem at the output
after reflection of input torque
c.equivalent system at the input
after reflection of impedances
a.rotational system driven by
gears
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
Generalizing the results
Rotational mechanical impedances can be reflected through
gear trains by multiplying the mechanical impedance by the
ratio
where the impedance to be reflected is attached to the source
shaft and is being reflected to the destination shaft
System Dynamics and Control 2.116 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
- Ex.2.21 Transfer Function - System with Lossless Gears
Find the transfer function, πœƒ2(𝑠)/𝑇1(𝑠), for the system
Solution
Reflect the impedances (𝐽1 and 𝐷1) and torque (𝑇1) on the input
shaft to the output, where the impedances are reflected by
(𝑁1/𝑁2)2
and the torque is reflected by (𝑁1/𝑁2)
The equation of motion can now be written as
𝐽𝑒 𝑠2
+ 𝐷𝑒 𝑠 + 𝐾𝑒 πœƒ2 𝑠 = 𝑇1 𝑠 (𝑁2/𝑁1) (2.139)
System Dynamics and Control 2.117 Modeling in Frequency Domain
b.system after reflection of torques
and impedances to the output shaft
a.rotationalmechanicalsystemwithgears
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
𝐽𝑒 𝑠2
+ 𝐷𝑒 𝑠 + 𝐾𝑒 πœƒ2 𝑠 = 𝑇1 𝑠 (𝑁2/𝑁1) (2.139)
where, 𝐽 𝑒 = 𝐽1(𝑁2/𝑁1)2
+𝐽2, 𝐷𝑒 = 𝐷1(𝑁2/𝑁1)2
+𝐷2, 𝐾𝑒 = 𝐾2
Solving for 𝐺(𝑠)
𝐺 𝑠 =
πœƒ2(𝑠)
𝑇1(𝑠)
=
𝑁2/𝑁1
𝐽 𝑒 𝑠2 + 𝐷𝑒 𝑠 + 𝐾𝑒
System Dynamics and Control 2.118 Modeling in Frequency Domain
b.system after reflection of torques
and impedances to the output shaft
a.rotationalmechanicalsystemwithgears
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
- In order to eliminate gears with large radii, a gear train is used
to implement large gear ratios by cascading smaller gear ratios.
πœƒ4 =
𝑁1 𝑁3 𝑁5
𝑁2 𝑁4 𝑁6
πœƒ1
- For gear trains, the equivalent gear ratio is the product of the
individual gear ratios
System Dynamics and Control 2.119 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
- Ex.2.22 Transfer Function – Gears with Loss
Find the transfer function, πœƒ1(𝑠)/𝑇1(𝑠), for the system
Solution
Reflect all of the impedances to the input shaft, πœƒ1
The equation of motion can now be written as
𝐽𝑒 𝑠2
+ 𝐷𝑒 𝑠 πœƒ1 𝑠 = 𝑇1 𝑠
The transfer function
𝐺 𝑠 = πœƒ1 𝑠 /𝑇1 𝑠 = 1/(𝐽 𝑒 𝑠2
+ 𝐷𝑒 𝑠)
System Dynamics and Control 2.120 Modeling in Frequency Domain
b.equivalent system at the inputa.system using a gear train
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
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21
Β§7.Transfer Functions for Systems with Gears
Skill-Assessment Ex.2.10
Problem Find the TF
𝐺 𝑠 =
πœƒ2(𝑠)
𝑇(𝑠)
Solution Transforming the network to one without gears by
reflecting the 4π‘π‘š/π‘Ÿπ‘Žπ‘‘ spring to the left and multiplying
by (25/50)2
4[π‘π‘š/π‘Ÿπ‘Žπ‘‘] Γ—
25
50
2
= 1[π‘π‘š/π‘Ÿπ‘Žπ‘‘]
System Dynamics and Control 2.121 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
The equation of motion
+ 𝑠2
+ 𝑠 πœƒ1 𝑠 βˆ’ π‘ πœƒ π‘Ž 𝑠 = 𝑇(𝑠)
βˆ’π‘ πœƒ1 𝑠 + (𝑠 + 1)πœƒ π‘Ž 𝑠 = 0
System Dynamics and Control 2.122 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§7.Transfer Functions for Systems with Gears
The equation of motion
𝑠2
+ 𝑠 πœƒ1 𝑠 βˆ’ π‘ πœƒ π‘Ž 𝑠 = 𝑇(𝑠)
βˆ’π‘ πœƒ1 𝑠 + (𝑠 + 1)πœƒ π‘Ž 𝑠 = 0
Solving for πœƒ π‘Ž(𝑠)
πœƒ π‘Ž 𝑠 =
𝑠2
+ 𝑠 𝑇
βˆ’π‘  0
𝑠2 + 𝑠 βˆ’π‘ 
βˆ’π‘  𝑠 + 1
=
𝑠𝑇(𝑠)
𝑠3 + 𝑠2 + 𝑠
⟹
πœƒ π‘Ž 𝑠
𝑇(𝑠)
=
1
𝑠2 + 𝑠 + 1
The transfer function
πœƒ2 𝑠
𝑇(𝑠)
=
1
2
πœƒ π‘Ž 𝑠
𝑇(𝑠)
=
1/2
𝑠2 + 𝑠 + 1
System Dynamics and Control 2.123 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
System Dynamics and Control 2.124 Modeling in Frequency Domain
NASA flight simulator robot arm with electromechanical control system components
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
- A motor is an electromechanical component that yields a
displacement output for a voltage input, that is, a mechanical
output generated by an electrical input
- Derive the transfer function for the armature-controlled dc
servomotor (Mablekos, 1980)
β€’ Fixed field: a magnetic field is developed by stationary
permanent magnets or a stationary electromagnet
β€’ Armature: a rotating circuit, through
which current 𝑖 π‘Ž(𝑑) flows, passes
through this magnetic field at right
angles and feels a force
𝐹 = 𝐡𝑙𝑖 π‘Ž(𝑑)
𝐡 : the magnetic field strength
𝑙 : the length of the conductor
System Dynamics and Control 2.125 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
β€’ A conductor moving at right angles to a magnetic field
generates a voltage at the terminals of the conductor equal to
𝑒 = 𝐡𝑙𝑣
𝑒 : the voltage
𝑣 : the velocity of the conductor normal to the magnetic field
β€’ The current-carrying armature is rotating in a magnetic field,
its voltage is proportional to speed
𝑣 𝑏 𝑑 = 𝐾𝑏 πœƒ π‘š(𝑑) (2.144)
𝑣 𝑏 𝑑 : the back electromotive force
(back emf)
𝐾𝑏 : a constant of proportionality
called the back emf constant
πœƒ π‘š(𝑑): the angular velocity of the
motor
System Dynamics and Control 2.126 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
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Β§8.Electromechanical System Transfer Functions
β€’ Taking the Laplace transform
𝑉𝑏(𝑠) = 𝐾𝑏 π‘ πœƒ π‘š(𝑠) (2.145)
β€’ The relationship between the armature current, 𝑖 π‘Ž(𝑑), the
applied armature voltage, 𝑒 π‘Ž(𝑑), and the back emf, 𝑣 𝑏(𝑑)
𝑅 π‘Ž 𝐼 π‘Ž 𝑠 + 𝐿 π‘Ž 𝑠𝐼 π‘Ž 𝑠 + 𝑉𝑏 𝑠 = 𝐸 π‘Ž 𝑠 (2.146)
β€’ The torque developed by the motor is proportional to the
armature current
𝑇 π‘š 𝑠 = 𝐾𝑑 𝐼 π‘Ž 𝑠 (2.147)
𝑇 π‘š : the torque developed by the
motor
𝐾𝑑 : the motor torque constant,
which depends on the motor
and magnetic field characteristics
System Dynamics and Control 2.127 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
𝑉𝑏(𝑠) = 𝐾𝑏 π‘ πœƒ π‘š(𝑠) (2.145), 𝑅 π‘Ž 𝐼 π‘Ž 𝑠 + 𝐿 π‘Ž 𝑠𝐼 π‘Ž 𝑠 + 𝑉𝑏 𝑠 = 𝐸 π‘Ž 𝑠 (2.146)
Β§8.Electromechanical System Transfer Functions
β€’ Rearranging Eq.(2.147)
𝐼 π‘Ž(𝑠) =
1
𝐾𝑑
𝑇 π‘š(𝑠)
β€’ To find the TF of the motor, first substitute Eqs. (2.145) and
(2.148) into (2.146), yielding
(𝑅 π‘Ž + 𝐿 π‘Ž 𝑠)𝑇 π‘š(𝑠)
𝐾𝑑
+ 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = 𝐸 π‘Ž 𝑠
β€’ Then, find 𝑇 π‘š(𝑠) in terms of πœƒ π‘š(𝑠),
separate the input and output
variables and obtain the transfer
function, πœƒ π‘š(𝑠)/𝐸 π‘Ž(𝑠)
System Dynamics and Control 2.128 Modeling in Frequency Domain
(2.148)
(2.149)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
(𝑅 π‘Ž+𝐿 π‘Ž 𝑠)𝑇 π‘š(𝑠)
𝐾𝑑
+ 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = 𝐸 π‘Ž 𝑠 (2.149)
Β§8.Electromechanical System Transfer Functions
β€’ A typical equivalent mechanical loading on a motor
𝐽 π‘š : the equivalent inertia at the armature and includes both the
armature inertia and, the load inertia reflected to the armature
𝐷 π‘š : the equivalent viscous damping at the armature and
includes both the armature viscous damping and, the
load viscous damping reflected to the armature
𝑇 π‘š 𝑠 = (𝐽 π‘š 𝑠2
+ 𝐷 π‘š 𝑠)πœƒ π‘š(𝑠) (2.150)
β€’ Substituting Eq.(2.150) into Eq.(2.149)
(𝑅 π‘Ž + 𝐿 π‘Ž 𝑠)(𝐽 π‘š 𝑠2
+ 𝐷 π‘š 𝑠)πœƒ π‘š(𝑠)
𝐾𝑑
+ 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = πΈπ‘Ž(𝑠)
System Dynamics and Control 2.129 Modeling in Frequency Domain
(2.151)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
(𝑅 π‘Ž+𝐿 π‘Ž 𝑠)(𝐽 π‘š 𝑠2+𝐷 π‘š 𝑠)πœƒ π‘š(𝑠)
𝐾𝑑
+ 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = πΈπ‘Ž(𝑠) (2.151)
Β§8.Electromechanical System Transfer Functions
β€’ Assume that the armature inductance, 𝐿 π‘Ž, is small compared
to the armature resistance, 𝑅 π‘Ž, which is usual for a dc motor,
Eq. (2.151) becomes
𝑅 π‘Ž
𝐾𝑑
𝐽 π‘š 𝑠 + 𝐷 π‘š + 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = 𝐸 π‘Ž(𝑠)
β€’ After simplification
πœƒ π‘š(𝑠)
𝐸 π‘Ž(𝑠)
=
𝐾𝑑
𝑅 π‘Ž
1
𝐽 π‘š
𝑠 𝑠 +
1
𝐽 π‘š
𝐷 π‘š +
𝐾𝑑
𝑅 π‘Ž
𝐾𝑏
β€’ The form of Eq.(2.153)
πœƒ π‘š(𝑠)
𝐸 π‘Ž(𝑠)
=
𝐾
𝑠(𝑠 + 𝛼)
System Dynamics and Control 2.130 Modeling in Frequency Domain
(2.153)
(2.154)
(2.152)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
β€’ Let us first discuss the mechanical constants, 𝐽 π‘š and 𝐷 π‘š.
Consider the figure: a motor with inertia
𝐽 π‘Ž and damping 𝐷 π‘Ž at the armature
driving a load consisting of inertia 𝐽 𝐿
and damping 𝐷 𝐿
Assuming that all inertia and damping values shown are
known, 𝐽 𝐿 and 𝐷 𝐿 can be reflected back to the armature as
some equivalent inertia and damping to be added to 𝐽 π‘Ž and
𝐷 π‘Ž , respectively. Thus, the equivalent inertia, 𝐽 π‘š , and
equivalent damping, 𝐷 π‘š, at the armature are
𝐽 π‘š = 𝐽 π‘Ž + 𝐽𝐿
𝑁1
𝑁2
2
𝐷 π‘š = 𝐷 π‘Ž + 𝐷𝐿
𝑁1
𝑁2
2
System Dynamics and Control 2.131 Modeling in Frequency Domain
(2.155.a)
(2.155.b)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
𝑉𝑏(𝑠) = 𝐾𝑏 π‘ πœƒ π‘š(𝑠) (2.145), 𝑅 π‘Ž πΌπ‘Ž 𝑠 + 𝐿 π‘Ž π‘ πΌπ‘Ž 𝑠 + 𝑉𝑏 𝑠 = πΈπ‘Ž 𝑠 (2.146), πΌπ‘Ž(𝑠) =
1
𝐾𝑑
𝑇 π‘š(𝑠) (2.148)
Β§8.Electromechanical System Transfer Functions
β€’ Substituting Eqs.(2.145), (2.148) into Eq. (2.146), with 𝐿 π‘Ž = 0
𝑅 π‘Ž
𝐾𝑑
𝑇 π‘š 𝑠 + 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = 𝐸 π‘Ž 𝑠
Taking the inverse Laplace transform
𝑅 π‘Ž
𝐾𝑑
𝑇 π‘š 𝑑 + 𝐾𝑏 πœ” π‘š 𝑑 = 𝑒 π‘Ž 𝑑
β€’ When the motor is operating at steady state with a dc voltage
input
𝑅 π‘Ž
𝐾𝑑
𝑇 π‘š + 𝐾𝑏 πœ” π‘š = 𝑒 π‘Ž
⟹ 𝑇 π‘š = βˆ’
𝐾𝑏 𝐾𝑑
𝑅 π‘Ž
πœ” π‘š +
𝐾𝑑
𝑅 π‘Ž
𝑒 π‘Ž
System Dynamics and Control 2.132 Modeling in Frequency Domain
(2.156)
(2.157)
(2.158)
(2.159)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
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Β§8.Electromechanical System Transfer Functions
The stall torque
π‘‡π‘ π‘‘π‘Žπ‘™π‘™ =
𝐾𝑑
𝑅 π‘Ž
𝑒 π‘Ž
The no-load speed
πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ =
𝑒 π‘Ž
𝐾𝑏
The electrical constants of the motor
𝐾𝑑
𝑅 π‘Ž
=
π‘‡π‘ π‘‘π‘Žπ‘™π‘™
𝑒 π‘Ž
𝐾𝑏 =
𝑒 π‘Ž
πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘
The electrical constants, 𝐾𝑑/𝑅 π‘Ž and 𝐾𝑏, can be found from a
dynamometer test of the motor, which would yield π‘‡π‘ π‘‘π‘Žπ‘™π‘™ and
πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ for a given 𝑒 π‘Ž
System Dynamics and Control 2.133 Modeling in Frequency Domain
(2.160)
(2.161)
(2.162)
(2.163)
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
- Ex.2.23 Transfer Function-DC Motor and Load
Given the system and torque-speed curve, find the TF,
System Dynamics and Control 2.134 Modeling in Frequency Domain
πœƒ 𝐿 𝑠
𝐸 π‘Ž 𝑠
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
Solution
Find the mechanical constants
𝐽 π‘š = 𝐽 π‘Ž + 𝐽𝐿
𝑁1
𝑁2
2
= 5 + 700 Γ—
100
1000
2
= 12
𝐷 π‘š = 𝐷 π‘Ž + 𝐷 𝐿
𝑁1
𝑁2
2
= 2 + 800 Γ—
100
1000
2
= 10
System Dynamics and Control 2.135 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
Find the electrical constants from the torque-speed curve
π‘‡π‘ π‘‘π‘Žπ‘™π‘™ = 500, πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ = 50, 𝑒 π‘Ž = 100
𝐾𝑑
𝑅 π‘Ž
=
π‘‡π‘ π‘‘π‘Žπ‘™π‘™
𝑒 π‘Ž
=
500
100
= 5
𝐾𝑏 =
𝑒 π‘Ž
πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘
=
100
50
= 2
System Dynamics and Control 2.136 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
The transfer function πœƒ π‘š(𝑠)/𝐸 π‘Ž(𝑠)
πœƒ π‘š(𝑠)
𝐸 π‘Ž(𝑠)
=
𝐾𝑑
𝑅 π‘Ž
1
𝐽 π‘š
𝑠 𝑠 +
1
𝐽 π‘š
𝐷 π‘š +
𝐾𝑑
𝑅 π‘Ž
𝐾𝑏
=
5 Γ—
1
12
𝑠 𝑠 +
1
12
Γ— 10 + 5 Γ— 2
=
0.417
𝑠(𝑠 + 1.667)
The transfer function πœƒ 𝐿(𝑠)/𝐸 π‘Ž(𝑠)
πœƒ 𝐿(𝑠)
𝐸 π‘Ž(𝑠)
=
πœƒ π‘š(𝑠)
𝑁1
𝑁2
𝐸 π‘Ž(𝑠)
=
0.417 Γ—
100
1000
𝑠(𝑠 + 1.667)
=
0.0417
𝑠(𝑠 + 1.667)
System Dynamics and Control 2.137 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§8.Electromechanical System Transfer Functions
Skill-Assessment Ex.2.11
Problem Find the TF, 𝐺 𝑠 = πœƒ 𝐿(𝑠)/𝐸𝑠(𝑠), for the motor and load
system. The torque-speed curve is given by 𝑇 π‘š =
βˆ’ 8πœ” π‘š + 200 when the input voltage is 100π‘£π‘œπ‘™π‘‘π‘ 
Solution
Find the mechanical constants
𝐽 π‘š = 𝐽 π‘Ž + 𝐽𝐿
𝑁1
𝑁2
𝑁3
𝑁4
2
= 1 + 400 Γ—
20
100
Γ—
25
100
2
= 2
𝐷 π‘š = 𝐷 π‘Ž + 𝐷𝐿
𝑁1
𝑁2
𝑁3
𝑁4
2
= 5 + 800 Γ—
20
100
Γ—
25
100
2
= 7
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𝑇 π‘š = βˆ’8πœ” π‘š + 200
Β§8.Electromechanical System Transfer Functions
Find the electrical constants from the torque-speed eq.
πœ” π‘š = 0 ⟹ 𝑇 π‘š = 200
𝑇 π‘š = 0 ⟹ πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ = 200/8 = 25
𝐾𝑑
𝑅 π‘Ž
=
π‘‡π‘ π‘‘π‘Žπ‘™π‘™
𝐸 π‘Ž
=
200
100
= 2
𝐾𝑏 =
𝐸 π‘Ž
πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘
=
100
25
= 4
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Β§8.Electromechanical System Transfer Functions
Substituting all values into the motor transfer function
πœƒ π‘š(𝑠)
𝐸 π‘Ž(𝑠)
=
𝐾𝑑
𝑅 π‘Ž
1
𝐽 π‘š
𝑠 𝑠 +
1
𝐽 π‘š
𝐷 π‘š +
𝐾𝑑
𝑅 π‘Ž
𝐾𝑏
=
2 Γ—
1
2
𝑠 𝑠 +
1
2
7 + 2 Γ— 4
=
1
𝑠(𝑠 + 7.5)
The transfer function πœƒ 𝐿(𝑠)/𝐸 π‘Ž(𝑠)
πœƒ 𝐿(𝑠)
𝐸 π‘Ž(𝑠)
=
πœƒ π‘š(𝑠)
𝑁1
𝑁2
𝑁3
𝑁4
𝐸 π‘Ž(𝑠)
=
20
100
Γ—
25
100
𝑠(𝑠 + 7.5)
=
0.05
𝑠(𝑠 + 7.5)
System Dynamics and Control 2.140 Modeling in Frequency Domain
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Β§9.Electric Circuit Analogs
- Electric circuit analog: an electric circuit that is analogous to a
system from another discipline
- In the commonality of systems from the various disciplines, the
mechanical systems can be represented by equivalent electric
circuits
- Analogs can be obtained by comparing the describing
equations, such as the equations of motion of a mechanical
system, with either electrical mesh or nodal equations
β€’ When compared with mesh equations, the resulting electrical
circuit is called a series analog
β€’ When compared with nodal equations, the resulting electrical
circuit is called a parallel analog
System Dynamics and Control 2.141 Modeling in Frequency Domain
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Β§9.Electric Circuit Analogs
Series Analog
Consider the translational mechanical system, the equation of motion
𝑀𝑠2
+ 𝑓𝑣 𝑠 + 𝐾 𝑋 𝑠 = 𝐹 𝑠 =
𝑀𝑠2
+ 𝑓𝑣 𝑠 + 𝐾
𝑠
𝑠𝑋 𝑠
⟹ 𝑀𝑠 + 𝑓𝑣 +
𝐾
𝑠
𝑉 𝑠 = 𝐹(𝑠)
Kirchhoff’s mesh equation for the simple series RLC network
𝐿𝑠 + 𝑅 +
1
𝐢𝑠
𝐼 𝑠 = 𝐸(𝑠)
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Β§9.Electric Circuit Analogs
Parameters for series analog
mass = 𝑀 ⟹ inductor 𝐿 = 𝑀 henries
viscous damper = 𝑓𝑣 ⟹ resistor 𝑅 = 𝑓𝑣ohms
spring = 𝐾 ⟹ capacitor 𝐢 = 1/𝐾 farads
applied force = 𝑓(𝑑) ⟹ voltage source 𝑒 𝑑 = 𝑓(𝑑)
velocity = 𝑣(𝑑) ⟹ mesh current 𝑖 𝑑 = 𝑣(𝑑)
System Dynamics and Control 2.143 Modeling in Frequency Domain
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Β§9.Electric Circuit Analogs
- Ex.2.24 Converting a Mechanical System to a Series Analog
Draw a series analog for the mechanical system
Solution
The equations of motion with 𝑋(𝑠) β†’ 𝑉(𝑠)
𝑀1 𝑠 + 𝑓𝑣1
+ 𝑓𝑣3
+
𝐾1 + 𝐾2
𝑠
𝑉1 𝑠 βˆ’ 𝑓𝑣3
+
𝐾2
𝑠
𝑉2 𝑠 = 𝐹(𝑠)
βˆ’ 𝑓𝑣3
+
𝐾2
𝑠
𝑉1 𝑠 + 𝑀2 𝑠 + 𝑓𝑣2
+ 𝑓𝑣3
+
𝐾2 + 𝐾3
𝑠
𝑉2 𝑠 = 0
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+ 𝑀1 𝑠 + 𝑓𝑣1
+ 𝑓𝑣3
+
𝐾1+𝐾2
𝑠
𝑉1 𝑠 βˆ’ 𝑓𝑣3
+
𝐾2
𝑠
𝑉2 𝑠 = 𝐹(𝑠)
βˆ’ 𝑓𝑣3
+
𝐾2
𝑠
𝑉1 𝑠 + 𝑀2 𝑠 + 𝑓𝑣2
+ 𝑓𝑣3
+
𝐾2+𝐾3
𝑠
𝑉2 𝑠 = 0
Β§9.Electric Circuit Analogs
Coefficients represent sums of electrical impedance.
Mechanical impedances associated with 𝑀1 form the first mesh,
where impedances between the two masses are common to
the two loops. Impedances associated with 𝑀2 form the second
mesh
𝑣1(𝑑) and 𝑣2(𝑑)are the velocities of 𝑀1 and 𝑀2, respectively
System Dynamics and Control 2.145 Modeling in Frequency Domain
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Β§9.Electric Circuit Analogs
Parallel Analog
Consider the translational mechanical system, the equation of motion
𝑀𝑠 + 𝑓𝑣 +
𝐾
𝑠
𝑉 𝑠 = 𝐹(𝑠)
Kirchhoff’s nodal equation for the simple parallel RLC network
𝐢𝑠 +
1
𝑅𝑠
+
1
𝐿𝑠
𝐸 𝑠 = 𝐼(𝑠)
System Dynamics and Control 2.146 Modeling in Frequency Domain
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Β§9.Electric Circuit Analogs
Parameters for parallel analog
mass = 𝑀 ⟹ capacitor 𝐢 = 𝑀 farads
viscous damper = 𝑓𝑣 ⟹ resistor 𝑅 = 1/𝑓𝑣 ohms
spring = 𝐾 ⟹ inductor 𝐿 = 1/𝐾 henries
applied force = 𝑓(𝑑) ⟹ current source 𝑖(𝑑) = 𝑓(𝑑)
velocity = 𝑣(𝑑) ⟹ node voltage 𝑒(𝑑) = 𝑣(𝑑)
System Dynamics and Control 2.147 Modeling in Frequency Domain
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Β§9.Electric Circuit Analogs
- Ex.2.25 Converting a Mechanical System to a Parallel Analog
Draw a parallel analog for the mechanical system
Solution
The equations of motion with 𝑋(𝑠) β†’ 𝑉(𝑠)
𝑀1 𝑠 + 𝑓𝑣1
+ 𝑓𝑣3
+
𝐾1 + 𝐾2
𝑠
𝑉1 𝑠 βˆ’ 𝑓𝑣3
+
𝐾2
𝑠
𝑉2 𝑠 = 𝐹(𝑠)
βˆ’ 𝑓𝑣3
+
𝐾2
𝑠
𝑉1 𝑠 + 𝑀2 𝑠 + 𝑓𝑣2
+ 𝑓𝑣3
+
𝐾2 + 𝐾3
𝑠
𝑉2 𝑠 = 0
System Dynamics and Control 2.148 Modeling in Frequency Domain
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+ 𝑀1 𝑠 + 𝑓𝑣1
+ 𝑓𝑣3
+
𝐾1+𝐾2
𝑠
𝑉1 𝑠 βˆ’ 𝑓𝑣3
+
𝐾2
𝑠
𝑉2 𝑠 = 𝐹(𝑠)
βˆ’ 𝑓𝑣3
+
𝐾2
𝑠
𝑉1 𝑠 + 𝑀2 𝑠 + 𝑓𝑣2
+ 𝑓𝑣3
+
𝐾2+𝐾3
𝑠
𝑉2 𝑠 = 0
Β§9.Electric Circuit Analogs
Coefficients represent sums of electrical admittances.
Admittances associated with 𝑀1 form the elements connected
to the first node, where mechanical admittances between the
two masses are common to the two nodes. Mechanical
admittances associated with 𝑀2 form the elements connected
to the second node
𝑣1(𝑑) and 𝑣2(𝑑) are the velocities of 𝑀1 and 𝑀2, respectively
System Dynamics and Control 2.149 Modeling in Frequency Domain
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Β§9.Electric Circuit Analogs
Skill-Assessment Ex.2.12
Problem Draw a series and parallel analog for the rotational
mechanical system
Solution
The equations of motion
+ 𝐽1 𝑠2
+ 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠)
βˆ’πΎπœƒ1 𝑠 + 𝐽2 𝑠2
+ 𝐷2 𝑠 + 𝐾 πœƒ2 𝑠 = 0
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Β§9.Electric Circuit Analogs
𝐽1 𝑠2
+ 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠)
βˆ’πΎπœƒ1 𝑠 + 𝐽2 𝑠2
+ 𝐷2 𝑠 + 𝐾 πœƒ2 𝑠 = 0
Leting πœƒ1 𝑠 = πœ”1(𝑠)/𝑠, πœƒ2 𝑠 = πœ”2(𝑠)/𝑠
𝐽1 𝑠 + 𝐷1 +
𝐾
𝑠
πœ”1 𝑠 βˆ’
𝐾
𝑠
πœ”2 𝑠 = 𝑇(𝑠)
βˆ’
𝐾
𝑠
πœ”1 𝑠 + 𝐽2 𝑠 + 𝐷2 +
𝐾
𝑠
πœ”2 𝑠 = 0
From these equations, draw both series and parallel
analogs by considering these to be mesh or nodal
equations, respectively
System Dynamics and Control 2.151 Modeling in Frequency Domain
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Β§10.Nonlinearities
- A linear system possesses two properties
β€’ Superposition
β€’ Homogeneity
- Some examples of physical nonlinearities
System Dynamics and Control 2.152 Modeling in Frequency Domain
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Β§11.Linearization
- To obtain transfer function from a nonlinear system
β€’ Recognize the nonlinear component and write the nonlinear
differential equation
β€’ Find the steady-state solution is called equilibrium
β€’ Linearize the nonlinear differential equation
β€’ Take the Laplace transform of the linearized differential
equation, assuming zero initial conditions
β€’ Separate input and output variables and form the transfer
function
System Dynamics and Control 2.153 Modeling in Frequency Domain
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Β§11.Linearization
- Assume a nonlinear system operating at point 𝐴, [π‘₯0, 𝑓(π‘₯0)],
small changes in the input can be
related to changes in the output about
the point by way of the slope of the curve
at the point 𝐴
𝑓 π‘₯ βˆ’ 𝑓(π‘₯0) β‰ˆ π‘š π‘Ž(π‘₯ βˆ’ π‘₯0)
⟹ 𝛿𝑓 π‘₯ β‰ˆ π‘š π‘Ž 𝛿π‘₯
⟹ 𝑓 π‘₯ β‰ˆ 𝑓 π‘₯0 + π‘š π‘Ž π‘₯ βˆ’ π‘₯0
β‰ˆ 𝑓 π‘₯0 + π‘š π‘Ž 𝛿π‘₯
π‘š π‘Ž : the slope of the curve at point 𝐴
Ξ΄π‘₯ : small excursions of the input about point 𝐴
𝛿𝑓(π‘₯): small changes in the output related by the slope at
point 𝐴
System Dynamics and Control 2.154 Modeling in Frequency Domain
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Β§11.Linearization
- Ex.2.26 Linearizing a Function
Linearize 𝑓 π‘₯ = 5π‘π‘œπ‘ π‘₯ about π‘₯ = πœ‹/2
Solution
Using the linearized equation
𝑓 π‘₯ β‰ˆ 𝑓 π‘₯0 + π‘š π‘Ž 𝛿π‘₯
where
𝑓
πœ‹
2
= 5π‘π‘œπ‘ 
πœ‹
2
= 0
π‘š π‘Ž =
𝑑𝑓
𝑑π‘₯ π‘₯=
πœ‹
2
= (βˆ’5𝑠𝑖𝑛π‘₯)
π‘₯=
πœ‹
2
= βˆ’5
The system can be presented as
𝑓 π‘₯ β‰ˆ βˆ’5𝛿π‘₯
for small excursions of π‘₯ about πœ‹/2
System Dynamics and Control 2.155 Modeling in Frequency Domain
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Β§11.Linearization
Taylor series expansion
Taylor series expansion expresses the value of a function in
terms of the value of that function at a particular point, the
excursion away from that point, and derivatives evaluated at
that point
𝑓 π‘₯ = 𝑓 π‘₯0 +
𝑑𝑓
𝑑π‘₯ π‘₯=π‘₯0
(π‘₯ βˆ’ π‘₯ π‘œ)
1!
+
𝑑2
𝑓
𝑑π‘₯2
π‘₯=π‘₯0
(π‘₯ βˆ’ π‘₯ π‘œ)2
2!
+ β‹―
For small excursions of π‘₯ from π‘₯0, the higher-order terms can
be neglected
𝑓 π‘₯ = 𝑓 π‘₯0 +
𝑑𝑓
𝑑π‘₯ π‘₯=π‘₯0
(π‘₯ βˆ’ π‘₯ π‘œ)
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Β§11.Linearization
- Ex.2.27 Linearizing a Differential Equation
Linearize the following equation for small excursion about π‘₯ = πœ‹/4
𝑑2
π‘₯
𝑑𝑑2 + 2
𝑑π‘₯
𝑑𝑑
+ π‘π‘œπ‘ π‘₯ = 0
Solution
The presence of the term π‘π‘œπ‘ π‘₯ makes this equation nonlinear
Since we want to linearize the equation about π‘₯ = πœ‹/4, we let
π‘₯ = πœ‹/4 + 𝛿π‘₯, where 𝛿π‘₯ is the small excursion about πœ‹/4
𝑑2
(𝛿π‘₯ + πœ‹/4)
𝑑𝑑2 + 2
𝑑(𝛿π‘₯ + πœ‹/4)
𝑑𝑑
+ π‘π‘œπ‘ (𝛿π‘₯ + πœ‹/4) = 0
𝑑2
(𝛿π‘₯ + πœ‹/4)
𝑑𝑑2 =
𝑑2
𝛿π‘₯
𝑑𝑑2
𝑑(𝛿π‘₯ + πœ‹/4)
𝑑𝑑
=
𝑑𝛿π‘₯
𝑑𝑑
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Β§11.Linearization
𝑓 π‘₯ = 𝑓 π‘₯0 +
𝑑𝑓
𝑑π‘₯ π‘₯=π‘₯0
(π‘₯ βˆ’ π‘₯0)
𝑓 π‘₯ = π‘π‘œπ‘ π‘₯ = π‘π‘œπ‘  𝛿π‘₯ + πœ‹/4
𝑓 π‘₯0 = 𝑓 πœ‹/4 = cos(πœ‹/4) = 2/2
π‘₯ βˆ’ π‘₯0 = 𝛿π‘₯
𝑑𝑓
𝑑π‘₯ π‘₯=π‘₯0
=
π‘‘π‘π‘œπ‘ π‘₯
𝑑π‘₯ π‘₯=πœ‹/4
= βˆ’ sin πœ‹/4 = βˆ’ 2/2
⟹ π‘π‘œπ‘  𝛿π‘₯ + πœ‹/4 =
2
2
+ βˆ’
2
2
𝛿π‘₯
The linearized differential equation
𝑑2
𝛿π‘₯
𝑑𝑑2 + 2
𝑑𝛿π‘₯
𝑑𝑑
βˆ’
2
2
𝛿π‘₯ = βˆ’
2
2
Solve this equation for 𝛿π‘₯, and obtain π‘₯ = 𝛿π‘₯ + πœ‹/4
System Dynamics and Control 2.158 Modeling in Frequency Domain
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Β§11.Linearization
- Ex.2.28 Transfer Function-Nonlinear Electrical Network
Find the transfer function, 𝑉𝐿(𝑠)/𝑉(𝑠), for the electrical network,
which contains a nonlinear resistor whose
voltage-current relationship is defined by
𝑖 π‘Ÿ = 2𝑒0.1𝑣 π‘Ÿ , where 𝑖 π‘Ÿ and π‘£π‘Ÿ are the
resistor current and voltage, respectively.
Also, 𝑣(𝑑) is a small-signal source
Solution
From the voltage-current relationship
𝑖 π‘Ÿ = 2𝑒0.1𝑣 π‘Ÿ
⟹ π‘£π‘Ÿ = 10ln(0.5𝑖 π‘Ÿ) = 10ln(0.5𝑖)
Applying Kirchhoff’s voltage law around the loop
𝐿
𝑑𝑖
𝑑𝑑
+ 10 ln 0.5𝑖 βˆ’ 20 = 𝑣(𝑑)
System Dynamics and Control 2.159 Modeling in Frequency Domain
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Β§11.Linearization
- Evaluate the equilibrium solution
β€’ Set the small-signal source, 𝑣(𝑑), equal to zero
β€’ Evaluate the steady-state current
In the steady state 𝑣 𝐿 𝑑 = 𝐿𝑑𝑖/𝑑𝑑 and
𝑑𝑖/𝑑𝑑, given a constant battery source.
Hence, the resistor voltage, π‘£π‘Ÿ, is 20𝑉
𝑖 π‘Ÿ = 2𝑒0.1𝑣 π‘Ÿ = 2𝑒0.1Γ—20
= 14.78𝐴
⟹ 𝑖0 = 𝑖 π‘Ÿ = 14.78𝐴
𝑖0 is the equilibrium value of the network current ⟹ 𝑖 = 𝑖0 + 𝛿𝑖
𝐿
𝑑𝑖
𝑑𝑑
+ 10 ln 0.5𝑖 βˆ’ 20 = 𝑣(𝑑)
⟹ 𝐿
𝑑(𝑖0 + 𝛿𝑖)
𝑑𝑑
+ 10ln[0.5 𝑖0 + 𝛿𝑖 ] βˆ’ 20 = 𝑣(𝑑)
System Dynamics and Control 2.160 Modeling in Frequency Domain
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𝐿
𝑑(𝑖0+𝛿𝑖)
𝑑𝑑
+ 10 ln[0.5 𝑖0 + 𝛿𝑖 ] βˆ’ 20 = 𝑣(𝑑)
Β§11.Linearization
𝑓 𝑖 = 𝑓 𝑖0 +
𝑑𝑓
𝑑𝑖 𝑖=𝑖0
(𝑖 βˆ’ 𝑖0)
𝑓 𝑖 = ln(0.5𝑖) = ln[0.5 𝑖0 + 𝛿𝑖 ]
𝑓 𝑖0 = ln(0.5𝑖0)
𝑖 βˆ’ 𝑖0 = 𝛿𝑖
𝑑𝑓
𝑑𝑖 𝑖=𝑖0
=
𝑑 ln(0.5𝑖)
𝑑𝑖 𝑖=𝑖0
=
1
𝑖 𝑖=𝑖0
=
1
𝑖0
⟹ ln[0.5 𝑖0 + 𝛿𝑖 ] = ln(0.5𝑖0) +
1
𝑖0
𝛿𝑖
The linearized equation
𝐿
𝑑𝛿𝑖
𝑑𝑑
+ 10 ln(0.5𝑖0) +
1
𝑖0
𝛿𝑖 βˆ’ 20 = 𝑣(𝑑)
System Dynamics and Control 2.161 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§11.Linearization
The linearized equation with 𝐿 = 1𝐻, 𝑖0 = 14.78𝐴
𝑑𝛿𝑖
𝑑𝑑
+ 0.677𝛿𝑖 = 𝑣(𝑑) ⟹ 𝛿𝑖 𝑠 =
𝑉(𝑠)
𝑠 + 0.677
The voltage across the inductor about the equilibrium point
𝑣 𝐿 𝑑 = 𝐿
𝑑(𝑖0 + 𝛿𝑖)
𝑑𝑑
= 𝐿
𝑑𝛿𝑖
𝑑𝑑
⟹ 𝑉𝐿 𝑠 = 𝐿𝑠𝛿𝑖 𝑠 = 𝑠𝛿𝑖 𝑠
The voltage across the inductor about the equilibrium point
𝑉𝐿 𝑠 = 𝑠
𝑉(𝑠)
𝑠 + 0.677
The final transfer function
𝑉𝐿 𝑠
𝑉(𝑠)
=
𝑠
𝑠 + 0.677
for small excursions about 𝑖 = 14.78𝐴 or, equivalently, about
𝑣 𝑑 = 0
System Dynamics and Control 2.162 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
1/11/2016
28
Β§11.Linearization
Skill-Assessment Ex.2.13
Problem Find the linearized transfer function, 𝐺 𝑠 = 𝑉(𝑠)/𝐼(𝑠),
for the electrical network. The network contains a
nonlinear resistor whose voltage-current relationship is
defined by 𝑖 π‘Ÿ = 𝑒 𝑣 π‘Ÿ. The current source, 𝑖(𝑑), is a small-
signal generator
Solution
The nodal equation
𝐢
𝑑𝑣
𝑑𝑑
+ 𝑖 π‘Ÿ βˆ’ 2 = 𝑖 𝑑
But 𝐢 = 1, 𝑣 = 𝑣0 + 𝛿𝑣, 𝑖 π‘Ÿ = 𝑒 𝑣 π‘Ÿ = 𝑒 𝑣
= 𝑒 𝑣0+𝛿𝑣
𝑑(𝑣0 + 𝛿𝑣)
𝑑𝑑
+ 𝑒 𝑣0+𝛿𝑣
βˆ’ 2 = 𝑖 𝑑
System Dynamics and Control 2.163 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
𝑑(𝑣0+𝛿𝑣)
𝑑𝑑
+ 𝑒 𝑣0+𝛿𝑣
βˆ’ 2 = 𝑖 𝑑
Β§11.Linearization
Linearize 𝑒 𝑣
𝑓 𝑣 = 𝑓 𝑣0 +
𝑑𝑓
𝑑𝑣 𝑣=𝑣0
(𝑣 βˆ’ 𝑣0)
𝑓 𝑣 = 𝑒 𝑣
= 𝑒 𝑣0+𝛿𝑣
𝑓 𝑣0 = 𝑒 𝑣0
𝑣 βˆ’ 𝑣0 = 𝛿𝑣
𝑑𝑓
𝑑𝑣 𝑣=𝑣0
=
𝑑𝑒 𝑣
𝑑𝑣 𝑣=𝑣0
= 𝑒 𝑣
𝑣=𝑣0
= 𝑒 𝑣0
⟹ 𝑒 𝑣0+𝛿𝑣
= 𝑒 𝑣0 + 𝑒 𝑣0 𝛿𝑣
The linearized equation
𝑑𝛿𝑣
𝑑𝑑
+ 𝑒 𝑣0 + 𝑒 𝑣0 𝛿𝑣 βˆ’ 2 = 𝑖 𝑑
System Dynamics and Control 2.164 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§11.Linearization
Setting 𝑖 𝑑 = 0 and letting the circuit reach steady
state, the capacitor acts like an open circuit. Thus, 𝑣0 =
π‘£π‘Ÿ with 𝑖 π‘Ÿ = 2. But, 𝑖 π‘Ÿ = 𝑒 𝑣 π‘Ÿ or π‘£π‘Ÿ = ln𝑖 π‘Ÿ. Hence, 𝑣0 =
ln2 = 0.693
𝑑𝛿𝑣
𝑑𝑑
+ 𝑒 𝑣0 + 𝑒 𝑣0 𝛿𝑣 βˆ’ 2 = 𝑖 𝑑
⟹
𝑑𝛿𝑣
𝑑𝑑
+ 2𝛿𝑣 = 𝑖 𝑑
Taking the Laplace transform
𝑠 + 2 𝛿𝑣 𝑠 = 𝐼(𝑠)
The transfer function
𝛿𝑣(𝑠)
𝐼(𝑠)
=
𝑉(𝑠)
𝐼(𝑠)
=
1
𝑠 + 2
about equilibrium
System Dynamics and Control 2.165 Modeling in Frequency Domain
HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
Β§12.Case Studies
System Dynamics and Control 2.166 Modeling in Frequency Domain

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Ch.02 modeling in frequency domain

  • 1. 1/11/2016 1 02. Modeling in Frequency Domain System Dynamics and Control 2.01 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Chapter Objectives After completing this chapter, the student will be able to β€’ Find the Laplace transform of time functions and the inverse Laplace transform β€’ Find the transfer function (TF) from a differential equation and solve the differential equation using the transfer function β€’ Find the transfer function for linear, time-invariant electrical networks β€’ Find the TF for linear, time-invarianttranslational mechanical systems β€’ Find the TF for linear, time-invariant rotational mechanical systems β€’ Find the TF for gear systems with no loss and for gear systems with loss β€’ Find the TF for linear, time-invariant electromechanical systems β€’ Produce analogous electrical and mechanical circuits β€’ Linearize a nonlinear system in order to find the TF System Dynamics and Control 2.02 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§1.Introduction - Mathematical models from schematics of physical systems β€’ transfer functions in the frequency domain β€’ state equations in the time domain System Dynamics and Control 2.03 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review - Transforms: a mathematical conversion from one way of thinking to another to make a problem easier to solve - The Laplace transform the problem in time-domain to problem in 𝑠-domain, then applying the solution in 𝑠-domain, and finally using inverse transform to converse the solution back to the time-domain - The Laplace transform is named in honor of mathematician and astronomer Pierre-Simon Laplace (1749-1827) - Others: Fourier transform, z-transform, wavelet transform, … System Dynamics and Control 2.04 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review - The Laplace transform of the function 𝑓(𝑑) for 𝑑 > 0 is defined by the following relationship 𝑠 : complex frequency variable, 𝑠 = 𝜎 + π‘—πœ” with 𝑠, πœ” are real numbers, 𝑠 ∈ 𝐢 for which makes 𝐹 𝑠 convergent β„’ : Laplace transform 𝐹(𝑠): a complex-valued function of complex numbers - The inverse Laplace transform of the function 𝐹(𝑠) for 𝑑 > 0 is defined by the following relationship 𝑒(𝑑) : the unit step function, 𝑒 𝑑 = 1 𝑖𝑓 𝑑 > 0 0 𝑖𝑓 𝑑 < 0 System Dynamics and Control 2.05 Modeling in Frequency Domain 𝐹 𝑠 = β„’ 𝑓(𝑑) = 0βˆ’ +∞ 𝑓(𝑑)π‘’βˆ’π‘ π‘‘ 𝑑𝑑 𝑓 𝑑 = β„’βˆ’1 𝐹 𝑠 = 1 2πœ‹π‘— πœŽβˆ’π‘—βˆž 𝜎+π‘—βˆž 𝐹 𝑠 𝑒 𝑠𝑑 𝑑𝑠 = 𝑓 𝑑 𝑒(𝑑) (2.1) (2.2) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review - The Laplace transform table System Dynamics and Control 2.06 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 2. 1/11/2016 2 Β§2.Laplace Transform Review - Ex.2.1 Laplace Transform of a Time Function Find the Laplace transform of 𝑓 𝑑 = π΄π‘’βˆ’π‘Žπ‘‘ 𝑒(𝑑) Solution 𝐹 𝑠 = 0 ∞ 𝑓(𝑑)π‘’βˆ’π‘ π‘‘ 𝑑𝑑 = 0 ∞ π΄π‘’βˆ’π‘Žπ‘‘ π‘’βˆ’π‘ π‘‘ 𝑑𝑑 = 𝐴 0 ∞ π‘’βˆ’(π‘Ž+𝑠)𝑑 𝑑𝑑 = βˆ’ 𝐴 𝑠 + π‘Ž π‘’βˆ’(π‘Ž+𝑠)𝑑 0 ∞ ⟹ 𝐹 𝑠 = 𝐴 𝑠 + π‘Ž System Dynamics and Control 2.07 Modeling in Frequency Domain (2.3) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review System Dynamics and Control 2.08 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien β„’ 𝑑𝑒 𝑑 = 1 𝑠2 (Table 2.1 – 3) β„’ π‘’βˆ’π‘Žπ‘‘ 𝑓(𝑑) = 𝐹(𝑠 + π‘Ž) (Table 2.2 – 4) Β§2.Laplace Transform Review - Ex.2.2 Inverse Laplace Transform Find the inverse Laplace transform of 𝐹1 𝑠 = 1/(𝑠 + 3)2 Solution 𝑓 𝑑 = β„’βˆ’1 1 𝑠2 = 𝑑𝑒(𝑑) 𝑓1 𝑑 = β„’βˆ’1 1 (𝑠 + 3)2 = π‘’βˆ’3𝑑 𝑓 𝑑 ⟹ 𝑓1 𝑑 = π‘’βˆ’3𝑑 𝑑𝑒(𝑑) System Dynamics and Control 2.09 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien β„’ 𝛿 𝑑 = 1 (Table 2.1 – 1) β„’ 𝑑𝑓(𝑑) 𝑑𝑑 = 𝑠𝐹(𝑠) β†’ β„’ 𝑑𝛿(𝑑) 𝑑𝑑 = 𝑠 (Table 2.2 – 7) Β§2.Laplace Transform Review Partial-Fraction Expansion 𝐹1 𝑠 = 𝑠3 + 2𝑠2 + 6𝑠 + 7 𝑠2 + 𝑠 + 5 = (𝑠 + 1) + 2 𝑠2 + 𝑠 + 5 ⟹ 𝑓1 𝑑 = 𝑑𝛿(𝑑) 𝑑𝑑 + 𝛿 𝑑 + β„’βˆ’1 2 𝑠2 + 𝑠 + 5 Using partial-fraction expansion to expand function like 𝐹(𝑠) into a sum of terms and then find the inverse Laplace transform for each term System Dynamics and Control 2.10 Modeling in Frequency Domain 𝐹(𝑠) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review Case 1. Roots of the Denominator of 𝐹(𝑠) are Real and Distinct 𝐹 𝑠 = 2 (𝑠 + 1)(𝑠 + 2) = 𝐾1 𝑠 + 1 + 𝐾2 𝑠 + 2 lim π‘ β†’βˆ’1 [(2.8) Γ— (𝑠 + 1)] ⟹ lim π‘ β†’βˆ’1 2 𝑠 + 2 = lim π‘ β†’βˆ’1 𝐾1 + (𝑠 + 1)𝐾2 𝑠 + 2 ⟹ 𝐾1 = 2 lim π‘ β†’βˆ’2 [(2.8) Γ— (𝑠 + 2)] ⟹ lim π‘ β†’βˆ’2 2 𝑠 + 1 = lim π‘ β†’βˆ’2 (𝑠 + 2)𝐾1 𝑠 + 1 + 𝐾2 ⟹ 𝐾2 = βˆ’2 ⟹ 𝐹 𝑠 = 2 𝑠 + 1 βˆ’ 2 𝑠 + 2 ⟹ 𝑓 𝑑 = 2π‘’βˆ’π‘‘ βˆ’ 2π‘’βˆ’2𝑑 𝑒(𝑑) System Dynamics and Control 2.11 Modeling in Frequency Domain (2.8) (2.10) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review In general, given an 𝐹(𝑠) whose denominator has real and distinct roots, a partial-fraction expansion 𝐹 𝑠 = 𝑁(𝑠) 𝐷(𝑠) = 𝑁(𝑠) 𝑠 + 𝑝1 𝑠 + 𝑝2 … 𝑠 + 𝑝𝑖 … (𝑠 + 𝑝 𝑛) = 𝐾1 𝑠 + 𝑝1 + 𝐾2 𝑠 + 𝑝2 + β‹― + 𝐾𝑖 𝑠 + 𝑝𝑖 + β‹― + 𝐾𝑛 𝑠 + 𝑝 𝑛 To find 𝐾𝑖 β€’ multiply (2.11) by 𝑠 + 𝑝𝑖 β€’ let 𝑠 approach βˆ’π‘π‘– System Dynamics and Control 2.12 Modeling in Frequency Domain (2.11) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 3. 1/11/2016 3 β„’ 𝑑𝑓 𝑑𝑑 = 𝑠𝐹 𝑠 βˆ’ 𝑓(0βˆ’) (Table 2.2 – 7) β„’ 𝑑2 𝑓 𝑑𝑑2 = 𝑠2 𝐹 𝑠 βˆ’ 𝑠𝑓(0βˆ’) βˆ’ 𝑓′(0βˆ’) (Table 2.2 – 8) Β§2.Laplace Transform Review - Ex.2.3 Laplace Transform Solution of a Differential Equation Given the following differential equation, solve for 𝑦(𝑑) if all initial conditions are zero. Use the Laplace transform 𝑑2 𝑦 𝑑𝑑2 + 12 𝑑𝑦 𝑑𝑑 + 32𝑦 = 32𝑒(𝑑) Solution 𝑠2 π‘Œ 𝑠 + 12π‘ π‘Œ 𝑠 + 32π‘Œ 𝑠 = 32 𝑠 ⟹ π‘Œ 𝑠 = 32 𝑠 𝑠2 + 12𝑠 + 32 = 32 𝑠(𝑠 + 4)(𝑠 + 8) = 𝐾1 𝑠 + 𝐾2 𝑠 + 4 + 𝐾3 𝑠 + 8 System Dynamics and Control 2.13 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review π‘Œ 𝑠 = 32 𝑠(𝑠 + 4)(𝑠 + 8) = 𝐾1 𝑠 + 𝐾2 𝑠 + 4 + 𝐾3 𝑠 + 8 Evaluate the residue 𝐾𝑖 𝐾1 = 32 (𝑠 + 4)(𝑠 + 8) 𝑠→0 = 1 𝐾2 = 32 𝑠(𝑠 + 8) π‘ β†’βˆ’4 = βˆ’2 𝐾2 = 32 𝑠(𝑠 + 4) π‘ β†’βˆ’8 = 1 ⟹ π‘Œ 𝑠 = 1 𝑠 βˆ’ 2 𝑠 + 4 + 1 𝑠 + 8 Hence 𝑦 𝑑 = 1 βˆ’ 2π‘’βˆ’4𝑑 + π‘’βˆ’8𝑑 𝑒(𝑑) System Dynamics and Control 2.14 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review π‘Œ 𝑠 = 32 𝑠 𝑠2 + 12𝑠 + 32 = 1 𝑠 βˆ’ 2 𝑠 + 4 + 1 𝑠 + 8 𝑦 𝑑 = 1 βˆ’ 2π‘’βˆ’4𝑑 + π‘’βˆ’8𝑑 𝑒(𝑑) (2.20) The 𝑒(𝑑) in (2.20) shows that the response is zero until 𝑑 = 0 Unless otherwise specified, all inputs to systems in the text will not start until 𝑑 = 0. Thus, output responses will also be zero until 𝑑 = 0 For convenience, the 𝑒(𝑑) notation will be eliminated from now on. Accordingly, the output response 𝑦 𝑑 = 1 βˆ’ 2π‘’βˆ’4𝑑 + π‘’βˆ’8𝑑 (2.21) System Dynamics and Control 2.15 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review Run ch2p1 through ch2p8 in Appendix B Learn how to use MATLAB to β€’ represent polynomials β€’ find roots of polynomials β€’ multiply polynomials, and β€’ find partial-fraction expansions System Dynamics and Control 2.16 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien System Dynamics and Control 2.17 Modeling in Frequency Domain Β§2.Laplace Transform Review π‘Œ 𝑠 = 32 𝑠3 + 12𝑠2 + 32𝑠 = 1 𝑠 βˆ’ 2 𝑠 + 4 + 1 𝑠 + 8 Matlab [r,p,k] = residue([32],[1,12,32,0]) Result r = [1, βˆ’2, 1], p = [βˆ’8, βˆ’4, 0], k = [ ] π‘Œ 𝑠 = 0 π‘˜ + 1 π‘Ÿ1 1 𝑠 βˆ’ (βˆ’8 𝑝1 ) + (βˆ’2 π‘Ÿ2 ) 1 𝑠 βˆ’ (βˆ’4 𝑝2 ) + 1 π‘Ÿ3 1 𝑠 βˆ’ (0 𝑝3 ) = 1 𝑠 + 8 βˆ’ 2 𝑠 + 4 + 1 𝑠 HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review Case 2. Roots of the Denominator of 𝐹(𝑠) are Real and Repeated 𝐹 𝑠 = 2 (𝑠 + 1)(𝑠 + 2)2 = 𝐾1 𝑠 + 1 + 𝐾2 (𝑠 + 2)2 + 𝐾3 𝑠 + 2 lim π‘ β†’βˆ’1 [(2.23) Γ— (𝑠 + 1)] ⟹ lim π‘ β†’βˆ’1 2 𝑠 + 2 = lim π‘ β†’βˆ’1 𝐾1 + (𝑠 + 1)𝐾2 𝑠 + 2 ⟹ 𝐾1 = 2 lim π‘ β†’βˆ’2 [(2.23) Γ— (𝑠 + 2)] ⟹ lim π‘ β†’βˆ’2 2 𝑠 + 1 = lim π‘ β†’βˆ’2 (𝑠 + 2)𝐾1 𝑠 + 1 + 𝐾2 ⟹ 𝐾2 = βˆ’2 System Dynamics and Control 2.18 Modeling in Frequency Domain (2.22) (2.23) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 4. 1/11/2016 4 Β§2.Laplace Transform Review 𝐹 𝑠 = 𝐾1 𝑠 + 1 + 𝐾2 (𝑠 + 2)2 + 𝐾3 𝑠 + 2 𝐾1 = 2, 𝐾2 = βˆ’2 (2.23) Γ— (𝑠 + 2)2 ⟹ 2 𝑠 + 1 = (𝑠 + 2)2 𝐾1 𝑠 + 1 + 𝐾2 + (𝑠 + 2)𝐾3 Differentiate (2.24) with respect to 𝑠 βˆ’2 𝑠 + 1 2 = (𝑠 + 2)𝐾1 𝑠 + 1 2 + 𝐾3 ⟹ 𝐾3 = βˆ’2 ⟹ π‘Œ 𝑠 = 2 𝑠 + 1 βˆ’ 2 𝑠 + 2 2 βˆ’ 2 𝑠 + 2 Hence 𝑦 𝑑 = 2π‘’βˆ’π‘‘ βˆ’ 2π‘‘π‘’βˆ’2𝑑 βˆ’ 2π‘’βˆ’2𝑑 (2.26) System Dynamics and Control 2.19 Modeling in Frequency Domain (2.23) (2.24) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien System Dynamics and Control 2.20 Modeling in Frequency Domain Β§2.Laplace Transform Review 𝐹 𝑠 = 2 (𝑠 + 1)(𝑠 + 2)2 Matlab F=zpk([], [-1 -2 -2],2) Result F = 2 ------------------ (s+1) (s+2)^2 Continuous-time zero/pole/gain model (2.22) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien System Dynamics and Control 2.21 Modeling in Frequency Domain Β§2.Laplace Transform Review 𝐹 𝑠 = 2 𝑠3 + 5𝑠2 + 8𝑠 + 4 = 2 𝑠 + 1 βˆ’ 2 𝑠 + 2 2 βˆ’ 2 𝑠 + 2 Matlab [r,p,k] = residue([2],[1,5,8,4]) Result r = [βˆ’2, βˆ’2, 2], p = [βˆ’2, βˆ’2, βˆ’1], k = [ ] 𝐹 𝑠 = 0 π‘˜ + (βˆ’2) π‘Ÿ1 1 [𝑠 βˆ’ (βˆ’2 𝑝1 )]2 + (βˆ’2 π‘Ÿ2 ) 1 𝑠 βˆ’(βˆ’2 𝑝2 ) + 2 π‘Ÿ3 1 𝑠 βˆ’(βˆ’1 𝑝3 ) = βˆ’ 2 𝑠 + 2 2 βˆ’ 2 𝑠 + 2 + 2 𝑠 + 1 HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review In general, given an 𝐹(𝑠) whose denominator has real and distinct roots, a partial-fraction expansion 𝐹 𝑠 = 𝑁(𝑠) 𝐷(𝑠) = 𝑁(𝑠) 𝑠 + 𝑝1 π‘Ÿ 𝑠 + 𝑝2 … 𝑠 + 𝑝𝑖 … (𝑠 + 𝑝 𝑛) = 𝐾1 𝑠 + 𝑝1 π‘Ÿ + 𝐾1 𝑠 + 𝑝1 π‘Ÿβˆ’1 + β‹― + 𝐾2 𝑠 + 𝑝1 + 𝐾2 𝑠 + 𝑝2 + β‹― + 𝐾𝑖 𝑠 + 𝑝𝑖 + β‹― + 𝐾𝑛 𝑠 + 𝑝 𝑛 β€’ multiply (2.27) by 𝑠 + 𝑝1 π‘Ÿ to get 𝐹1 𝑠 = 𝑠 + 𝑝1 π‘Ÿ 𝐹(𝑠) β€’ let 𝑠 approach βˆ’π‘π‘– System Dynamics and Control 2.22 Modeling in Frequency Domain (2.27) To find 𝐾𝑖 𝐾𝑖 = 1 𝑖 βˆ’ 1 ! 𝑑 π‘–βˆ’1 𝐹1(𝑠) 𝑑𝑠 π‘–βˆ’1 𝑠→𝑝1 𝑖 = 1,2, …, π‘Ÿ; 0! = 1 HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review Case 3. Roots of the Denominator of 𝐹(𝑠) are Complex or Imaginary 𝐹 𝑠 = 3 𝑠(𝑠2 + 2𝑠 + 5) = 𝐾1 𝑠 + 𝐾2 𝑠 + 𝐾3 𝑠2 + 2𝑠 + 5 lim 𝑠→0 [(2.31) Γ— 𝑠] ⟹ 𝐾1 = 3/5 First multiplying (2.31) by the lowest common denominator, 𝑠(𝑠2 + 2𝑠 + 5), and clearing the fraction 3 = 𝐾1 𝑠2 + 2𝑠 + 5 + 𝐾2 𝑠 + 𝐾3 𝑠 (2.32) ⟹ 3 = 𝐾2 + 3 5 𝑠2 + 𝐾3 + 6 5 𝑠 + 3 Balancing the coefficients: 𝐾2 = βˆ’3/5, 𝐾3 = βˆ’6/5 𝐹 𝑠 = 3 𝑠(𝑠2 + 2𝑠 + 5) = 3 5 1 𝑠 βˆ’ 3 5 𝑠 + 2 𝑠2 + 2𝑠 + 5 System Dynamics and Control 2.23 Modeling in Frequency Domain (2.30) (2.33) (2.31) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien β„’ π΄π‘’βˆ’π‘Žπ‘‘ π‘π‘œπ‘ πœ”π‘‘ + π΅π‘’βˆ’π‘Žπ‘‘ π‘ π‘–π‘›πœ”π‘‘ = 𝐡 𝑠+π‘Ž +π΅πœ” (𝑠+π‘Ž)2+πœ”2 (Table 2.1 – 6&7) Β§2.Laplace Transform Review 𝐹 𝑠 = 3 5 1 𝑠 βˆ’ 3 5 𝑠 + 2 𝑠2 + 2𝑠 + 5 = 3 5 1 𝑠 βˆ’ 3 5 𝑠 + 1 + 1/2 2 (𝑠 + 1)2+22 ⟹ 𝑓 𝑑 = 3 5 βˆ’ 3 5 π‘’βˆ’π‘‘ π‘π‘œπ‘ 2𝑑 + 1 2 𝑠𝑖𝑛2𝑑 or 𝑓 𝑑 = 0.6 βˆ’ 0.671π‘’βˆ’π‘‘ cos(2𝑑 βˆ’ πœ™) (2.41) System Dynamics and Control 2.24 Modeling in Frequency Domain (2.38) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 5. 1/11/2016 5 Β§2.Laplace Transform Review 𝐹 𝑠 = 2 (𝑠 + 1)(𝑠 + 2)2 𝑦 𝑑 = 2π‘’βˆ’π‘‘ βˆ’ 2π‘‘π‘’βˆ’2𝑑 βˆ’ 2π‘’βˆ’2𝑑 (2.26) Matlab numf=2; denf=poly([-1 -2 -2]); [r,p,k]=residue(numf,denf) Result r = [-2 -2 2], p = [-2 -2 -1], k = [] 𝐹 𝑠 = 0 π‘˜ + βˆ’2 π‘Ÿ1 1 [𝑠 βˆ’ (βˆ’2 𝑝1 )]2 + (βˆ’2 π‘Ÿ2 ) 1 𝑠 βˆ’ (βˆ’2 𝑝2 ) + 2 π‘Ÿ3 1 𝑠 βˆ’ (βˆ’1 𝑝3 ) = βˆ’2 1 (𝑠 + 2)2 βˆ’ 2 1 𝑠 + 2 + 2 1 𝑠 + 1 System Dynamics and Control 2.25 Modeling in Frequency Domain (2.22) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review 𝐹 𝑠 = 3 𝑠(𝑠2 + 2𝑠 + 5) Matlab F=tf([3],[1 2 5 0]) Result F = 3 ----------------------- s^3 + 2 s^2 + 5 s Continuous-time transfer function System Dynamics and Control 2.26 Modeling in Frequency Domain (2.30) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review In general, given an 𝐹(𝑠) whose denominator has complex or purely imaginary roots, a partial-fraction expansion 𝐹 𝑠 = 𝑁(𝑠) 𝐷(𝑠) = 𝑁(𝑠) 𝑠 + 𝑝1 (𝑠2 + π‘Žπ‘  + 𝑏) … = 𝐾1 (𝑠 + 𝑝1) + 𝐾2 𝑠 + 𝐾3 (𝑠2 + π‘Žπ‘  + 𝑏) + β‹― To find 𝐾𝑖 β€’ the 𝐾𝑖 ’s in (2.42) are found through balancing the coefficients of the equation after clearing fractions β€’ put (𝐾2 𝑠 + 𝐾3)/(𝑠2 + π‘Žπ‘  + 𝑏) in to the form 𝐡 𝑠 + π‘Ž + π΅πœ” (𝑠 + π‘Ž)2+πœ”2 System Dynamics and Control 2.27 Modeling in Frequency Domain (2.42) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review 𝐹 𝑠 = 3 𝑠(𝑠2 + 2𝑠 + 5) 𝑓 𝑑 = 3 5 βˆ’ 3 5 π‘’βˆ’π‘‘ π‘π‘œπ‘ 2𝑑 + 1 2 𝑠𝑖𝑛2𝑑 Matlab syms s; f=ilaplace(3/(s*(s^2+2*s+5))); pretty(f) Result f = 3/5 - (3*exp(-t)*(cos(2*t) + sin(2*t)/2))/5 / sin(2 t) exp(-t) | cos(2 t) + ---------- | 3 3 2 / - - -------------------------------------- 5 5 System Dynamics and Control 2.28 Modeling in Frequency Domain (2.30) (2.38) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review 𝐹 𝑠 = 3 𝑠(𝑠2 + 2𝑠 + 5) 𝐹 𝑠 = 3/5 𝑠 βˆ’ 3 20 2+ 𝑗1 𝑠 + 1 + 𝑗2 + 2 βˆ’ 𝑗1 𝑠 + 1 + 𝑗2 Matlab numf=3; denf=[1 2 5 0]; [r,p,k]=residue(numf,denf) Result r=[-0.3+0.15i; -0.3-0.15i; 0.6]; p=[-1+2i; -1-2i; 0]; k=[] 𝐹 𝑠 = 0 π‘˜ + (βˆ’0.3 + 𝑗0.15) π‘Ÿ1 1 𝑠 βˆ’ (βˆ’1 + 𝑗2 𝑝1 ) +(βˆ’0.3 βˆ’ 𝑗0.15) π‘Ÿ2 1 𝑠 βˆ’ (βˆ’1 βˆ’ 2𝑗 𝑝2 ) + (0.6) π‘Ÿ3 1 𝑠 βˆ’ (0 𝑝3 ) = βˆ’ 0.3 βˆ’ 𝑗0.15 𝑠 + 1 βˆ’ 2𝑗 βˆ’ 0.3 + 𝑗0.15 𝑠 + 1 + 2𝑗 + 0.6 1 𝑠 System Dynamics and Control 2.29 Modeling in Frequency Domain (2.30) (2.47) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review Run ch2sp1 and ch2sp2 in Appendix F Learn how to use the Symbolic Math Toolbox to β€’ construct symbolic objects β€’ find the inverse Laplace transforms of frequency functions β€’ find the Laplace of time functions System Dynamics and Control 2.30 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 6. 1/11/2016 6 Β§2.Laplace Transform Review Skill-Assessment Ex.2.1 Problem Find the Laplace transform of 𝑓 𝑑 = π‘‘π‘’βˆ’5𝑑 Solution 𝐹 𝑠 = β„’ π‘‘π‘’βˆ’5𝑑 = 1 (𝑠 + 5)2 Matlab syms t s F; f = t*exp(-5*t); F=laplace(f, s); pretty(F) Result 1 --------- 2 (s + 5) System Dynamics and Control 2.31 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review Skill-Assessment Ex.2.2 Problem Find the inverse Laplace transform of 𝐹 𝑠 = 10 𝑠(𝑠 + 2)(𝑠 + 3)2 Solution Expanding 𝐹(𝑠) by partial fractions 𝐹 𝑠 = 𝐴 𝑠 + 𝐡 𝑠 + 2 + 𝐢 (𝑠 + 3)2 + 𝐷 𝑠 + 3 𝐴 = 10 (𝑠 + 2)(𝑠 + 3)2 𝑠→0 = 5 9 , 𝐡 = 10 𝑠(𝑠 + 3)2 π‘ β†’βˆ’2 = βˆ’5 𝐢 = 10 𝑠(𝑠 + 2) π‘ β†’βˆ’3 = 10 3 , 𝐷 = (𝑠 + 3)2 𝑑𝐹(𝑠) 𝑑𝑠 π‘ β†’βˆ’3 = 40 9 ⟹ 𝐹 𝑠 = 5 9 1 𝑠 βˆ’ 5 1 𝑠 + 2 + 10 3 1 (𝑠 + 3)2 + 40 9 1 𝑠 + 3 System Dynamics and Control 2.32 Modeling in Frequency Domain where, HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§2.Laplace Transform Review 𝐹 𝑠 = 5 9 1 𝑠 βˆ’ 5 1 𝑠 + 2 + 10 3 1 (𝑠 + 3)2 + 40 9 1 𝑠 + 3 Taking the inverse Laplace transform 𝑓 𝑑 = 5 9 βˆ’ 5π‘’βˆ’2𝑑 + 10 3 π‘‘π‘’βˆ’3𝑑 + 40 9 π‘’βˆ’3𝑑 Matlab syms s; f=ilaplace(10/(s*(s+2)*(s+3)^2)); pretty(f) Result exp(-3 t) 40 t exp(-3 t) 10 5 --------------- - exp(-2 t) 5 + ---------------- + - 9 3 9 System Dynamics and Control 2.33 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function - The transfer function of a component is the quotient of the Laplace transform of the output divided by the Laplace transform of the input, with all initial conditions assumed to be zero - Transfer functions are defined only for linear time invariant systems - The input-output relationship of a control system 𝐺 𝑠 𝐢(𝑠) π‘Ž 𝑛 𝑑 𝑛 𝑐(𝑑) 𝑑𝑑 𝑛 + π‘Ž π‘›βˆ’1 𝑑 π‘›βˆ’1 𝑐 𝑑 𝑑𝑑 π‘›βˆ’1 + β‹― + π‘Ž0 𝑐 𝑑 = 𝑏 π‘š 𝑑 π‘š π‘Ÿ(𝑑) 𝑑𝑑 π‘š + 𝑏 π‘šβˆ’1 𝑑 π‘šβˆ’1 π‘Ÿ(𝑑) 𝑑𝑑 π‘šβˆ’1 + β‹― + 𝑏0 π‘Ÿ 𝑑 𝑐(𝑑): output π‘Ÿ(𝑑): input π‘Žπ‘–β€™s, 𝑏𝑖’s: constant System Dynamics and Control 2.34 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function π‘Ž 𝑛 𝑑 𝑛 𝑐(𝑑) 𝑑𝑑 𝑛 + π‘Ž π‘›βˆ’1 𝑑 π‘›βˆ’1 𝑐 𝑑 𝑑𝑑 π‘›βˆ’1 + β‹― + π‘Ž0 𝑐 𝑑 = 𝑏 π‘š 𝑑 π‘š π‘Ÿ(𝑑) 𝑑𝑑 π‘š + 𝑏 π‘šβˆ’1 𝑑 π‘šβˆ’1 π‘Ÿ(𝑑) 𝑑𝑑 π‘šβˆ’1 + β‹― + 𝑏0 π‘Ÿ 𝑑 - Taking the Laplace transform of both sides with zero initial conditions π‘Ž 𝑛 𝑠 𝑛 𝐢 𝑠 + π‘Ž π‘›βˆ’1 𝑠 π‘›βˆ’1 𝐢 𝑠 + β‹― + π‘Ž0 𝐢 𝑠 = 𝑏 π‘š 𝑠 π‘š 𝑅 𝑠 + 𝑏 π‘šβˆ’1 𝑠 π‘šβˆ’1 𝑅 𝑠 + β‹― + 𝑏0 𝑅 𝑠 - The transfer function 𝐺 𝑠 = 𝐢(𝑠) 𝑅(𝑠) = 𝑏 π‘š 𝑠 π‘š + 𝑏 π‘šβˆ’1 𝑠 π‘šβˆ’1 + β‹― + 𝑏0 π‘Ž 𝑛 𝑠 𝑛 + π‘Ž π‘›βˆ’1 𝑠 π‘›βˆ’1 + β‹― + π‘Ž0 - The output of the system can be written in the form 𝐢 𝑠 = 𝐺 𝑠 𝑅(𝑠) (2.54) System Dynamics and Control 2.35 Modeling in Frequency Domain (2.53) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function - Ex.2.4 Transfer Function for a Differential Equation Find the transfer function represented by 𝑑𝑐(𝑑) 𝑑𝑑 + 2𝑐(𝑑) = π‘Ÿ(𝑑) Solution Taking the Laplace transform with zero initial conditions 𝑠𝐢 𝑠 + 2𝐢(𝑠) = 𝑅(𝑠) The transfer function 𝐺 𝑠 = 𝐢(𝑠) 𝑅(𝑠) = 1 𝑠 + 2 System Dynamics and Control 2.36 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 7. 1/11/2016 7 Β§3.The Transfer Function Run ch2p9 through ch2p12 in Appendix B Learn how to use MATLAB to β€’ create transfer functions with numerators and denominators in polynomial or factored form β€’ convert between polynomial and factored forms β€’ plot time functions System Dynamics and Control 2.37 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function Run ch2sp3 in Appendix F Learn how to use the Symbolic Math Toolbox to β€’ simplify the input of complicated transfer functions as well as improve readability β€’ enter a symbolic transfer function and convert it to a linear time-invariant (LTI) object as presented in Appendix B, ch2p9 System Dynamics and Control 2.38 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function - Ex.2.5 System Response from the Transfer Function Given 𝐺 𝑠 = 1/(𝑠 + 2), find the response, 𝑐(𝑑) to an input, π‘Ÿ 𝑑 = 𝑒(𝑑), a unit step, assuming zero initial conditions Solution For a unit step π‘Ÿ 𝑑 = 𝑒 𝑑 ⟹ 𝑅 𝑠 = 1/𝑠 The output 𝐢 𝑠 = 𝑅 𝑠 𝐺 𝑠 = 1 𝑠 1 𝑠 + 2 Expanding by partial fractions 𝐢 𝑑 = 1 2 1 𝑠 βˆ’ 1 2 1 𝑠 + 2 Taking the inverse Laplace transform 𝑐 𝑑 = 0.5 βˆ’ 0.5π‘’βˆ’2𝑑 (2.60) System Dynamics and Control 2.39 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function 𝐺 𝑠 = 1 𝑠 + 2 𝑅 𝑠 = 1 𝑠 𝑐 𝑑 = 1 2 βˆ’ 1 2 π‘’βˆ’2𝑑 Matlab syms s C=1/(s*(s+2)) C=ilaplace(C) Result C = 1/2 - exp(-2*t)/2 𝑐 𝑑 = 1 2 βˆ’ 1 2 π‘’βˆ’2𝑑 System Dynamics and Control 2.40 Modeling in Frequency Domain (2.60) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function 𝑐 𝑑 = 1 2 βˆ’ 1 2 π‘’βˆ’2𝑑 Matlab t=0:0.01:1; plot(t,(1/2-1/2*exp(-2*t))) Result System Dynamics and Control 2.41 Modeling in Frequency Domain (2.60) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function Skill-Assessment Ex.2.3 Problem Find the transfer function, 𝐺 𝑠 = 𝐢(𝑠)/𝑅(𝑠), corresponding to the differential equation 𝑑3 𝑐 𝑑𝑑3 + 3 𝑑2 𝑐 𝑑𝑑2 + 7 𝑑𝑐 𝑑𝑑 + 5𝑐 = 𝑑2 π‘Ÿ 𝑑𝑑2 + 4 π‘‘π‘Ÿ 𝑑𝑑 + 3π‘Ÿ Solution Taking the Laplace transform with zero initial conditions 𝑠3 𝐢 𝑠 + 3𝑠2 𝐢 𝑠 + 7𝑠𝐢 𝑠 + 5𝐢 𝑠 = 𝑠2 𝑅 𝑠 + 4𝑠𝑅 𝑠 + 3𝑅 𝑠 Collecting terms 𝑠3 + 3𝑠2 + 7𝑠 + 5 𝐢 𝑠 = 𝑠2 + 4𝑠 + 3 𝑅(𝑠) The transfer function 𝐺 𝑠 = 𝐢(𝑠) 𝑅(𝑠) = 𝑠2 + 4𝑠 + 3 𝑠3 + 3𝑠2 + 7𝑠 + 5 System Dynamics and Control 2.42 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 8. 1/11/2016 8 Β§3.The Transfer Function Skill-Assessment Ex.2.4 Problem Find the differential equation corresponding to the transfer function 𝐺 𝑠 = 2𝑠 + 1 𝑠2 + 6𝑠 + 2 Solution The transfer function 𝐺 𝑠 = 𝐢(𝑠) 𝑅(𝑠) = 2𝑠 + 1 𝑠2 + 6𝑠 + 2 Cross multiplying 𝑑2 𝑐 𝑑𝑑2 + 6 𝑑𝑐 𝑑𝑑 + 2𝑐 = 2 π‘‘π‘Ÿ 𝑑𝑑 + π‘Ÿ System Dynamics and Control 2.43 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function Skill-Assessment Ex.2.5 Problem Find the ramp response for a system whose transfer function 𝐺 𝑠 = 𝑠 (𝑠 + 4)(𝑠 + 8) Solution For a ramp response π‘Ÿ 𝑑 = 𝑑𝑒 𝑑 ⟹ 𝑅 𝑠 = 1 𝑠2 The output 𝐢 𝑠 = 𝑅 𝑠 𝐺 𝑠 = 1 𝑠2 𝑠 (𝑠 + 4)(𝑠 + 8) = 𝐴 𝑠 + 𝐡 𝑠 + 4 + 𝐢 𝑠 + 8 System Dynamics and Control 2.44 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§3.The Transfer Function 𝐢 𝑠 = 1 𝑠(𝑠 + 4)(𝑠 + 8) = 𝐴 𝑠 + 𝐡 𝑠 + 4 + 𝐢 𝑠 + 8 𝐴 = 1 (𝑠 + 4)(𝑠 + 8) 𝑠→0 = 1 32 𝐡 = 1 𝑠(𝑠 + 8) π‘ β†’βˆ’4 = βˆ’ 1 16 𝐢 = 1 𝑠(𝑠 + 4) π‘ β†’βˆ’8 = 1 32 ⟹ 𝐢 𝑠 = 1 32 1 𝑠 βˆ’ 1 16 1 𝑠 + 4 + 1 32 1 𝑠 + 8 The ramp response 𝑐 𝑑 = 1 32 βˆ’ 1 16 π‘’βˆ’4𝑑 + 1 32 π‘’βˆ’8𝑑 System Dynamics and Control 2.45 Modeling in Frequency Domain where, HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Summarizes the components and the relationships between voltage and current and between voltage and charge under zero initial conditions System Dynamics and Control 2.46 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Simple Circuits via Mesh Analysis - Ex.2.6 Transfer Function - Single Loop via the Differential Equation Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠) Solution The voltage loop 𝐿 𝑑𝑖 𝑑𝑑 + 𝑅𝑖 + 1 𝐢 0 1 𝑖 𝜏 π‘‘πœ = 𝑣(𝑑) Using the relationships 𝑖 𝑑 = π‘‘π‘ž(𝑑)/𝑑𝑑 and π‘ž = 𝐢𝑣 𝐢 𝐿 𝑑2 π‘ž 𝑑𝑑2 + 𝑅 π‘‘π‘ž 𝑑𝑑 + 1 𝐢 π‘ž = 𝑣(𝑑) ⟹ 𝐿𝐢 𝑑2 𝑣 𝐢 𝑑𝑑2 + 𝑅𝐢 𝑑𝑣 𝐢 𝑑𝑑 + 𝑣 𝐢 = 𝑣(𝑑) System Dynamics and Control 2.47 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions 𝐿𝐢 𝑑2 𝑣 𝐢 𝑑𝑑2 + 𝑅𝐢 𝑑𝑣 𝐢 𝑑𝑑 + 𝑣 𝐢 = 𝑣(𝑑) Taking Laplace transform assuming zero initial conditions 𝐿𝐢𝑠2 + 𝑅𝐢𝑠 + 1 𝑉𝐢 𝑠 = 𝑉(𝑠) Solving for the transfer function 𝑉𝐢(𝑠) 𝑉(𝑠) = 1 𝐿𝐢 𝑠2 + 𝑅 𝐿 𝑠 + 1 𝐿𝐢 Block diagram of series RLC electrical network System Dynamics and Control 2.48 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 9. 1/11/2016 9 Β§4.Electrical Network Transfer Functions Impedance - A resistance resists or β€œimpedes” the flow of current. The corresponding relation is 𝑣/𝑖 = 𝑅 . Capacitance and inductance elements also impede the flow of current - In electrical systems an impedance is a generalization of the resistance concept and is defined as the ratio of a voltage transform 𝑉(𝑠) to a current transform 𝐼(𝑠) and thus implies a current source - Standard symbol for impedance 𝑍(𝑠) ≑ 𝑉(𝑠) 𝐼(𝑠) - Kirchhoff’s voltage law to the transformed circuit [ Sum of Impedances ] Γ— 𝐼 𝑠 = [ Sum ofApplied Voltages ] (2.72) System Dynamics and Control 2.49 Modeling in Frequency Domain (2.70) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions - The impedance of a resistor is its resistance 𝑍 𝑠 = 𝑅 - For a capacitor 𝑣 𝑑 = 1 𝐢 0 𝑑 𝑖𝑑𝑑 ⟹ 𝑉 𝑠 = 𝐼(𝑠) 𝐢 𝑠 𝑠 The impedance of a capacitor 𝑍 𝑠 = 1 𝐢𝑠 - For an inductor 𝑣 𝑑 = 𝐿 𝑑𝑖 𝑑𝑑 ⟹ 𝑉 𝑠 = 𝐿𝐼 𝑠 𝑠 The impedance of a inductor 𝑍 𝑠 = 𝐿𝑠 System Dynamics and Control 2.50 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Series and Parallel Impedances - The concept of impedance is useful because the impedances of individual elements can be combined with series and parallel laws to find the impedance at any point in the system - The laws for combining series or parallel impedances are extensions to the dynamic case of the laws governing series and parallel resistance elements System Dynamics and Control 2.51 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions - Series Impedances β€’ Two impedances are in series if they have the same current. If so, the total impedance is the sum of the individual impedances 𝑖 𝑣 𝑅 𝐢 𝑍 𝑠 = 𝑍1 𝑠 + 𝑍2(𝑠) β€’ Example: a resistor 𝑅 and capacitor 𝐢 in series have the equivalent impedance 𝑍 𝑠 = 𝑅 + 1 𝐢𝑠 = 𝑅𝐢𝑠 + 1 𝐢𝑠 ⟹ 𝑉(𝑠) 𝐼(𝑠) ≑ 𝑍 𝑠 = 𝑅𝐢𝑠 + 1 𝐢𝑠 and the differential equation model is 𝐢 𝑑𝑣 𝑑𝑑 = 𝑅𝐢 𝑑𝑖 𝑑𝑑 + 𝑖(𝑑) System Dynamics and Control 2.52 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions - Parallel Impedances β€’ Two impedances are in parallel if they have the same voltage difference across them. Their impedances combine by the reciprocal rule 1 𝑍(𝑠) = 1 𝑍1(𝑠) + 1 𝑍2(𝑠) β€’ Example: a resistor 𝑅 and capacitor 𝐢 in parallel have the equivalent impedance 1 𝑍(𝑠) = 1 1/𝐢𝑠 + 1 𝑅 ⟹ 𝑉(𝑠) 𝐼(𝑠) ≑ 𝑍 𝑠 = 𝑅 𝑅𝐢𝑠 + 1 and the differential equation model is 𝑅𝐢 𝑑𝑣 𝑑𝑑 + 𝑣 = 𝑅𝑖(𝑑) System Dynamics and Control 2.53 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Admittance π‘Œ 𝑠 ≑ 1 𝑍(𝑠) = 𝐼(𝑠) 𝑉(𝑠) In general, admittance is complex β€’ The real part of admittance is called conductance 𝐺 = 1 𝑅 β€’ The imaginary part of admittance is called susceptance When we take the reciprocal of resistance to obtain the admittance, a purely real quantity results. The reciprocal of resistance is called conductance System Dynamics and Control 2.54 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 10. 1/11/2016 10 Β§4.Electrical Network Transfer Functions Instead of taking the Laplace transform of the differential equation, we can draw the transformed circuit and obtain the Laplace transform of the differential equation simply by applying Kirchhoff’s voltage law to the transformed circuit The steps are as follows 1.Redraw the original network showing all time variables, such as 𝑣(𝑑), 𝑖(𝑑), and 𝑣 𝐢(𝑑), as Laplace transforms 𝑉(𝑠), 𝐼(𝑠), and 𝑉𝐢(𝑠), respectively 2.Replace the component values with their impedance values. This replacement is similar to the case of dc circuits, where we represent resistors with their resistance values System Dynamics and Control 2.55 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions - Ex.2.7 Transfer Function - Single Loop via Transform Method Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠) Solution The mess equation using impedances 𝐿𝑠 + 𝑅 + 1 𝐢𝑠 𝐼 𝑠 = 𝑉(𝑠) ⟹ 𝐼(𝑠) 𝑉(𝑠) = 1 𝐿𝑠 + 𝑅 + 1 𝐢𝑠 The voltage across the capacitor 𝑉𝐢 𝑠 = 𝐼(𝑠) 1 𝐢𝑠 ⟹ 𝑉𝐢(𝑠)/𝑉(𝑠) System Dynamics and Control 2.56 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Simple Circuits via Nodal Analysis - Ex.2.8 Transfer Function - Single Node via Transform Method Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠) Solution The transfer function can be obtained by summing currents flowing out of the node whose voltage is 𝑉𝐢(𝑠) 𝑉𝐢(𝑠) 1/𝐢𝑠 + 𝑉𝐢 𝑠 βˆ’ 𝑉(𝑠) 𝑅 + 𝐿𝑠 = 0 : the current flowing out of the node through the capacitor : the current flowing out of the node through the series resistor and inductor System Dynamics and Control 2.57 Modeling in Frequency Domain ⟹ 𝑉𝐢(𝑠) 𝑉(𝑠) 𝑉𝐢(𝑠) 𝐼/𝐢𝑠 𝑉𝐢 𝑠 βˆ’ 𝑉(𝑠) 𝑅 + 𝐿𝑠 HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Complex Circuits via Mesh Analysis To solve complex electrical networks - those with multiple loops and nodes – using mesh analysis 1.Replace passive element values with their impedances 2.Replace all sources and time variables with their Laplace transform 3.Assume a transform current and a current direction in each mesh 4.Write Kirchhoff’s voltage law around each mesh 5.Solve the simultaneous equations for the output 6.Form the transfer function System Dynamics and Control 2.58 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions - Ex.2.10 Transfer Function – Multiple Loops Find the transfer function 𝐼2(𝑠)/𝑉(𝑠) Solution Convert the network into Laplace transforms Summing voltages around each mesh through which the assumed currents flow 𝑅1 𝐼1 + 𝐿𝑠𝐼1 βˆ’ 𝐿𝑠𝐼2 = 𝑉 𝐿𝑠𝐼2 + 𝑅2 𝐼2 + 1 𝐢𝑠 𝐼2 βˆ’ 𝐿𝑠𝐼1 = 0 𝑅1 + 𝐿𝑠 𝐼1 βˆ’ 𝐿𝑠𝐼2 = 𝑉 βˆ’πΏπ‘ πΌ1 + 𝐿𝑠 + 𝑅2 + 1 𝐢𝑠 𝐼2 = 0 System Dynamics and Control 2.59 Modeling in Frequency Domain or (2.80) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Cramer’s Rule Consider a system of 𝑛 linear equations for 𝑛 unknowns, represented in matrix multiplication form as follows 𝐴π‘₯ = 𝑏 𝐴 : (𝑛 Γ— 𝑛) matrix has a nonzero determinant π‘₯ : the column vector of the variables π‘₯ = (π‘₯1, …, π‘₯ 𝑛) 𝑇 𝑏 : the column vector of known parameters The system has a unique solution, whose individual values for the unknowns are given by π‘₯𝑖 = det(𝐴𝑖) det(𝐴) , 𝑖 = 1, … , 𝑛 𝐴𝑖 : the matrix formed by replacing the 𝑖th column of 𝐴 by the column vector 𝑏 System Dynamics and Control 2.60 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 11. 1/11/2016 11 Β§4.Electrical Network Transfer Functions 𝑅1 + 𝐿𝑠 𝐼1 βˆ’ 𝐿𝑠𝐼2 = 𝑉 βˆ’πΏπ‘ πΌ1 + 𝐿𝑠 + 𝑅2 + 1 𝐢𝑠 𝐼2 = 0 Using Cramer’s rule 𝐼2 = 𝑅1 + 𝐿𝑠 𝑉 βˆ’πΏπ‘  0 𝑅1 + 𝐿𝑠 βˆ’πΏπ‘  βˆ’πΏπ‘  𝐿𝑠 + 𝑅2 + 1 𝐢𝑠 = 0 βˆ’ 𝐿𝑠𝑉 𝑅1 + 𝐿𝑠 𝐿𝑠 + 𝑅2 + 1 𝐢𝑠 βˆ’ 𝐿2 𝑠2 = 𝐿𝐢𝑠2 𝑉 𝑅1 + 𝑅2 𝐿𝐢𝑠2 + 𝑅1 𝑅2 𝐢 + 𝐿 𝑠 + 𝑅1 System Dynamics and Control 2.61 Modeling in Frequency Domain (2.80) (2.81) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions 𝐼2 = 𝐿𝐢𝑠2 𝑉 𝑅1 + 𝑅2 𝐿𝐢𝑠2 + 𝑅1 𝑅2 𝐢 + 𝐿 𝑠 + 𝑅1 Forming the transfer function 𝐺 𝑠 = 𝐼2 𝑠 𝑉(𝑠) = 𝐿𝐢𝑠2 𝑅1 + 𝑅2 𝐿𝐢𝑠2 + 𝑅1 𝑅2 𝐢 + 𝐿 𝑠 + 𝑅1 The network is now modeled as the transfer function of figure System Dynamics and Control 2.62 Modeling in Frequency Domain (2.82) (2.81) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Note 𝑅1 + 𝐿𝑠 𝐼1 βˆ’ 𝐿𝑠𝐼2 = 𝑉 βˆ’πΏπ‘ πΌ1 + 𝐿𝑠 + 𝑅2 + 1 𝐢𝑠 𝐼2 = 0 System Dynamics and Control 2.63 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Run ch2sp4 in Appendix F Learn how to use the Symbolic Math Toolbox to β€’ solve simultaneous equations using Cramer’s rule β€’ solve for the transfer function in Eq. (2.82) using Eq. (2.80) System Dynamics and Control 2.64 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Complex Circuits via Nodal Analysis - Ex.2.11 Transfer Function – Multiple Nodes Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠) Solution Sum of currents flowing from the nodes marked 𝑉𝐿(𝑠) and 𝑉𝐢(𝑠) 𝑉𝐿 βˆ’ 𝑉 𝑅1 + 𝑉𝐿 𝐿𝑠 + 𝑉𝐿 βˆ’ 𝑉𝐢 𝑅2 = 0 𝑉𝐢 1/𝐢𝑠 + 𝑉𝐢 βˆ’ 𝑉𝐿 𝑅2 = 0 𝐺1 + 𝐺2 + 1 𝐿𝑠 𝑉𝐿 βˆ’ 𝐺2 𝑉𝐢 = 𝑉𝐺1 βˆ’πΊ2 𝑉𝐿 + 𝐺2 + 𝐢𝑠 𝑉𝐢 = 0 System Dynamics and Control 2.65 Modeling in Frequency Domain or (2.86) (2.85) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions 𝐺1 + 𝐺2 + 1 𝐿𝑠 𝑉𝐿 βˆ’ 𝐺2 𝑉𝐢 = 𝑉𝐺1 βˆ’πΊ2 𝑉𝐿 + 𝐺2 + 𝐢𝑠 𝑉𝐢 = 0 Solving for the transfer function 𝑉𝐢(𝑠) 𝑉(𝑠) = 𝐺1 𝐺2 𝐢 𝑠 𝐺1 + 𝐺2 𝑠2 + 𝐺1 𝐺2 𝐿 + 𝐢 𝐿𝐢 𝑠 + 𝐺2 𝐿𝐢 Block diagram of the network System Dynamics and Control 2.66 Modeling in Frequency Domain (2.86) (2.87) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 12. 1/11/2016 12 Β§4.Electrical Network Transfer Functions - Another way to write node equations is to replace voltage sources by current sources. In order to handle multiple-node electrical networks, we can perform the following steps 1.Replace passive element values with their admittances 2.Replace all sources and time variables with their Laplace transform 3.Replace transformed voltage sources with transformed current sources 4.Write Kirchhoff’s current law at each node 5.Solve the simultaneous equations for the output 6.Form the transfer function System Dynamics and Control 2.67 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Norton's Theorem Any collection of batteries and resistances with two terminals is electrically equivalent to an ideal current source 𝑖 in parallel with a single resistor π‘Ÿ. The value of π‘Ÿ is the same as that in the Thevenin equivalent and the current 𝑖 can be found by dividing the open circuit voltage by π‘Ÿ Β§4.Electrical Network Transfer Functions - Ex.2.12 Transfer Function – Multiple Nodes with Current Sources Find the transfer function 𝑉𝐢(𝑠)/𝑉(𝑠) Solution Convert all impedances to admittances and all voltage sources in series with an impedance to current sources in parallel with an admittance using Norton’s theorem System Dynamics and Control 2.68 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Using the general relationship 𝐼 𝑠 = π‘Œ 𝑠 𝑉(𝑠) and summing currents at the node 𝑉𝐿(𝑠) 𝐺1 𝑉𝐿 𝑠 + 1 𝐿𝑠 𝑉𝐿 𝑠 + 𝐺2 𝑉𝐿 𝑠 βˆ’ 𝑉𝐢 𝑠 = 𝐺1 𝑉(𝑠) Summing the currents at the node 𝑉𝐢(𝑠) 𝐢𝑉𝐢 𝑠 + 𝐺2 𝑉𝐢 𝑠 βˆ’ 𝑉𝐿 𝑠 = 0 (2.89) Solving (2.88) and (2.89), forming the transfer function 𝑉𝐢(𝑠) 𝑉(𝑠) = 𝐺1 𝐺2 𝐢 𝑠 𝐺1 + 𝐺2 𝑠2 + 𝐺1 𝐺2 𝐿 + 𝐢 𝐿𝐢 𝑠 + 𝐺2 𝐿𝐢 System Dynamics and Control 2.69 Modeling in Frequency Domain (2.88) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Note 𝐺1 𝑉𝐿 𝑠 + 1 𝐿𝑠 𝑉𝐿 𝑠 + 𝐺2 𝑉𝐿 𝑠 βˆ’ 𝑉𝐢 𝑠 = 𝐺1 𝑉(𝑠) 𝐢𝑉𝐢 𝑠 + 𝐺2 𝑉𝐢 𝑠 βˆ’ 𝑉𝐿 𝑠 = 0 (2.89) System Dynamics and Control 2.70 Modeling in Frequency Domain (2.88) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions A Problem-Solving Technique In all of the previous examples, we have seen a repeating pattern in the equations that we can use to our advantage. If we recognize this pattern, we need not write the equations component by component; we can sum impedances around a mesh in the case of mesh equations or sum admittances at a node in the case of node equations System Dynamics and Control 2.71 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions - Ex.2.13 Mesh Equations via Inspection Write the mesh equations for the network Solution The mesh equations for loop 1 + 2𝑠 + 2 𝐼1 βˆ’ 2𝑠 + 1 𝐼2 βˆ’ 𝐼3 = 𝑉 (2.94.a) System Dynamics and Control 2.72 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 13. 1/11/2016 13 Β§4.Electrical Network Transfer Functions The mesh equations for loop 2 βˆ’ 2𝑠 + 2 𝐼1 + 9𝑠 + 1 𝐼2 βˆ’ 4𝑠𝐼3 = 0 (2.94.b) System Dynamics and Control 2.73 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions The mesh equations for loop 3 βˆ’πΌ1 βˆ’ 4𝑠𝐼2 + 4𝑠 + 1 + 1 𝑠 𝐼3 = 0 (2.94.c) System Dynamics and Control 2.74 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions + 2𝑠 + 2 𝐼1 βˆ’ 2𝑠 + 1 𝐼2 βˆ’ 𝐼3 = 𝑉 (2.94.a) βˆ’ 2𝑠 + 2 𝐼1 + 9𝑠 + 1 𝐼2 βˆ’ 4𝑠𝐼3 = 0 (2.94.b) βˆ’πΌ1 βˆ’ 4𝑠𝐼2 + 4𝑠 + 1 + 1 𝑠 𝐼3 = 0 Matlab syms s I1 I2 I3 V; A=[(2*s+2) -(2*s+1) -1; -(2*s+1) (9*s+1) -4*s; -1 -4*s (4*s+1+1/s)]; B=[I1;I2;I3]; C=[V;0;0]; B=inv(A)*C; pretty(B) System Dynamics and Control 2.75 Modeling in Frequency Domain (2.94.c) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Result / 3 2 | V (20 s + 13 s + 10 s + 1) | | ----------------------------------- | | #1 | | 3 2 | | V (8 s + 10 s + 3 s + 1) | | -------------------------------- | | #1 | | 2 | | V s (8 s + 13 s + 1) | | -------------------------- | #1 / where 4 3 2 #1 == 24 s + 30 s + 17 s + 16 s + 1 System Dynamics and Control 2.76 Modeling in Frequency Domain 20𝑠3 + 13𝑠2 + 10𝑠 + 1 𝑉 24𝑠4 + 30𝑠3 + 17𝑠2 + 16𝑠 + 1 8𝑠3 + 10𝑠2 + 3𝑠 + 1 𝑉 24𝑠4 + 30𝑠3 + 17𝑠2 + 16𝑠 + 1 𝑠 8𝑠2 + 13𝑠 + 1 𝑉 24𝑠4 + 30𝑠3 + 17𝑠2 + 16𝑠 + 1 HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Operational Amplifiers - An operational amplifier (op-amp) is an electronic amplifier used as a basic building block to implement transfer functions - Op-amp has the following characteristics 1.Differential input, 𝑣2 𝑑 βˆ’ 𝑣1 𝑑 2.High input impedance, 𝑍𝑖 = ∞ (ideal) 3.Low output impedance, 𝑍 π‘œ = 0 (ideal) 4.High constant gain amplification, 𝐴 = ∞ (ideal) - The output, 𝑣 π‘œ(𝑑), is given by 𝑣 π‘œ 𝑑 = 𝐴[𝑣2 𝑑 βˆ’ 𝑣1 𝑑 ] (2.95) System Dynamics and Control 2.77 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Inverting Operational Amplifiers - If 𝑣2(𝑑) is grounded, the amplifier is called an inverting operational amplifier - The output, 𝑣 π‘œ(𝑑), is given by 𝑣 π‘œ 𝑑 = βˆ’π΄π‘£1 𝑑 (2.96) System Dynamics and Control 2.78 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 14. 1/11/2016 14 Β§4.Electrical Network Transfer Functions Inverting Operational Amplifiers 𝑍𝑖 𝑠 = ∞ β†’ 𝐼 π‘Ž(𝑠) = 0 𝐼1 𝑠 = βˆ’πΌ2 𝑠 𝐴 = ∞ β†’ 𝑣1 𝑑 β‰ˆ 0 𝐼1 𝑠 = 𝑉𝑖 𝑠 𝑍1 𝑠 = βˆ’πΌ2 𝑠 = βˆ’ π‘‰π‘œ 𝑠 𝑍2 𝑠 The transfer function of the inverting operational amplifier π‘‰π‘œ(𝑠) 𝑉𝑖(𝑠) = βˆ’ 𝑍2(𝑠) 𝑍1(𝑠) System Dynamics and Control 2.79 Modeling in Frequency Domain (2.97) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions - Ex.2.14 Transfer Function – Inverting Op-Amp Circuit Find the transfer function π‘‰π‘œ(𝑠)/𝑉𝑖(𝑠) Solution The impedances 1 𝑍1 = 1 1/𝐢1 𝑠 + 1 𝑅1 β†’ 𝑍1 = 1 𝐢1 𝑠 + 1 𝑅1 = 360 Γ— 103 2.016𝑠 + 1 𝑍2 = 𝑅2 + 1 𝐢2 𝑠 = 220 Γ— 103 + 107 𝑠 The transfer function π‘‰π‘œ(𝑠) 𝑉𝑖(𝑠) = βˆ’ 𝑍2 𝑠 𝑍1 𝑠 = βˆ’ 360 Γ— 103 2.016𝑠 + 1 220 Γ— 103 + 107 𝑠 = βˆ’1.232 𝑠2 + 45.95𝑠 + 22.55 𝑠 System Dynamics and Control 2.80 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Noninverting Operational Amplifiers π‘‰π‘œ = 𝐴 𝑉𝑖 βˆ’ 𝑉1 𝑉1 = 𝑍1 𝑍1 + 𝑍2 π‘‰π‘œ The transfer function of the noninverting operational amplifier π‘‰π‘œ(𝑠) 𝑉𝑖(𝑠) = 𝑍1 𝑠 + 𝑍2(𝑠) 𝑍1(𝑠) System Dynamics and Control 2.81 Modeling in Frequency Domain (2.104) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions - Ex.2.15 Transfer Function – Noninverting Op-Amp Circuit Find the transfer function π‘‰π‘œ(𝑠)/𝑉𝑖(𝑠) Solution The impedances 𝑍1 = 𝑅1 + 1 𝐢1 𝑠 𝑍2 = 𝑅2 1 𝐢2 𝑠 𝑅2 + 1 𝐢2 𝑠 The transfer function π‘‰π‘œ(𝑠) 𝑉𝑖(𝑠) = 𝑍1 𝑠 + 𝑍2(𝑠) 𝑍1(𝑠) = 𝐢2 𝐢1 𝑅2 𝑅1 𝑠2 + (𝐢2 𝑅2 + 𝐢1 𝑅2 + 𝐢1 𝑅1)𝑠 + 1 𝐢2 𝐢1 𝑅2 𝑅1 𝑠2 + 𝐢2 𝑅2 + 𝐢1 𝑅1 𝑠 + 1 System Dynamics and Control 2.82 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Skill Assessment Ex.2.6 Problem Find 𝐺 𝑠 = 𝑉𝐿(𝑠)/𝑉(𝑠) using mesh and nodal analysis Solution Mesh analysis Writing the mesh equations 𝑠 + 1 𝐼1 βˆ’ 𝑠𝐼2 βˆ’ 𝐼3 = 𝑉 βˆ’π‘ πΌ1 + 2𝑠 + 1 𝐼2 βˆ’ 𝐼3 = 0 βˆ’πΌ1 βˆ’ 𝐼2 + 𝑠 + 2 𝐼3 = 0 System Dynamics and Control 2.83 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions 𝑠 + 1 𝐼1 βˆ’ 𝑠𝐼2 βˆ’ 𝐼3 = 𝑉 βˆ’π‘ πΌ1 + 2𝑠 + 1 𝐼2 βˆ’ 𝐼3 = 0 βˆ’πΌ1 βˆ’ 𝐼2 + 𝑠 + 2 𝐼3 = 0 Solving the mesh equation for 𝐼2 𝐼2 = 𝑠 + 1 𝑉 βˆ’1 βˆ’π‘  0 βˆ’1 βˆ’1 0 𝑠 + 2 𝑠 + 1 βˆ’π‘  βˆ’1 βˆ’π‘  2𝑠 + 1 βˆ’1 βˆ’1 βˆ’1 𝑠 + 2 = 𝑠2 + 2𝑠 + 1 𝑉 𝑠(𝑠2 + 5𝑠 + 2) The voltage across 𝐿 𝑉𝐿 = 𝑠𝐼2 = 𝑠2 + 2𝑠 + 1 𝑉 𝑠2 + 5𝑠 + 2 ⟹ 𝐺 𝑠 = 𝑉𝐿 𝑉 = 𝑠2 + 2𝑠 + 1 𝑠2 + 5𝑠 + 2 System Dynamics and Control 2.84 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 15. 1/11/2016 15 Β§4.Electrical Network Transfer Functions Nodal analysis Writing the nodal equations 1 𝑠 + 2 𝑉1 βˆ’ 𝑉𝐿 = 𝑉 βˆ’π‘‰1 + 2 𝑠 + 1 𝑉𝐿 = 1 𝑠 𝑉 System Dynamics and Control 2.85 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions 1 𝑠 + 2 𝑉1 βˆ’ 𝑉𝐿 = 𝑉 βˆ’π‘‰1 + 2 𝑠 + 1 𝑉𝐿 = 1 𝑠 𝑉 Solving the nodal equation for 𝑉𝐿 𝑉𝐿 = 1 𝑠 + 2 𝑉 βˆ’1 1 𝑠 1 𝑠 + 2 βˆ’1 βˆ’1 2 𝑠 + 1 = 𝑠2 + 2𝑠 + 1 𝑉 𝑠2 + 5𝑠 + 2 ⟹ 𝐺 𝑠 = 𝑉𝐿 𝑉 = 𝑠2 + 2𝑠 + 1 𝑠2 + 5𝑠 + 2 System Dynamics and Control 2.86 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions Skill Assessment Ex.2.7 Problem If 𝑍1(𝑠)is the impedance of a 10πœ‡πΉ capacitor and 𝑍2(𝑠) is the impedance of a 100π‘˜Ξ© resistor, find the transfer function, 𝐺 𝑠 = π‘‰π‘œ(𝑠)/𝑉𝑖(𝑠) if these components are used with (a) an inverting op-amp and (b) a noninverting op-amp Solution 𝑍1 = 𝑍 𝐢 = 1 𝐢𝑠 = 1 10βˆ’5 𝑠 = 105 𝑠 𝑍2 = 𝑍 𝑅 = 𝑅 = 105 System Dynamics and Control 2.87 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§4.Electrical Network Transfer Functions (a) Inverting Op-Amp 𝐺 𝑠 = βˆ’ 𝑍2 𝑍1 = βˆ’ 105 105 𝑠 = βˆ’π‘  (b) Noninverting Op-Amp 𝐺 𝑠 = 𝑍1 + 𝑍2 𝑍1 = 105 𝑠 + 105 105 𝑠 = 𝑠 + 1 System Dynamics and Control 2.88 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions System Dynamics and Control 2.89 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions - Ex.2.16 Transfer Function - One Equation of Motion Find the transfer function 𝑋(𝑠)/𝐹(𝑠) Solution Free body diagram Using Newton’s law to sum all of the forces 𝑀 𝑑2 π‘₯(𝑑) 𝑑𝑑2 + 𝑓𝑣 𝑑π‘₯(𝑑) 𝑑𝑑 + 𝐾π‘₯ 𝑑 = 𝑓(𝑑) Taking Laplace transform 𝑀𝑠2 𝑋 𝑠 + 𝑓𝑣 𝑠𝑋 𝑠 + 𝐾𝑋 𝑠 = 𝐹(𝑠) The transfer function 𝐺(𝑠) = 𝑋(𝑠) 𝐹(𝑠) = 𝐹 𝑠 𝑀𝑠2 + 𝑓𝑣 𝑠 + 𝐾 System Dynamics and Control 2.90 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 16. 1/11/2016 16 Β§5.Translational Mechanical System Transfer Functions Impedance - Define impedance for mechanical components 𝑍 𝑀 𝑠 ≑ 𝐹 𝑠 𝑋 𝑠 ⟹ 𝐹 𝑠 = 𝑍 𝑀 𝑠 𝑋 𝑠 Sum of Impedances Γ— 𝑋(𝑠) = Sum of Applied Forces - The impedance of a spring is its stiffness coefficient 𝐹 𝑠 = 𝐾𝑋 𝑠 ⟹ 𝑍 𝑀 𝑠 = 𝐾 (2.112) - For the viscous damper 𝐹 𝑠 = 𝑓𝑣 𝑠𝑋 𝑠 ⟹ 𝑍 𝑀 𝑠 = 𝑓𝑣 𝑠 (2.113) - For the mass 𝐹 𝑠 = 𝑀𝑠2 𝑋 𝑠 ⟹ 𝑍 𝑀 𝑠 = 𝑀𝑠2 (2.114) System Dynamics and Control 2.91 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions - Ex.2.17 Transfer Function - Two Degrees of Freedom Find the transfer function 𝑋2(𝑠)/𝐹(𝑠) Solution Free body diagram of 𝑀1 The Laplace transform of the equation of motion of 𝑀1 + 𝑀1 𝑠2 + 𝑓𝑣1 + 𝑓𝑣3 𝑠 + 𝐾1 + 𝐾2 𝑋1 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 𝑋2 = 𝐹 System Dynamics and Control 2.92 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions Free body diagram of 𝑀2 The Laplace transform of the equation of motion of 𝑀2 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 𝑋1 + 𝑀2 𝑠2 + 𝑓𝑣2 + 𝑓𝑣3 𝑠 + 𝐾2 + 𝐾3 𝑋2 = 0 System Dynamics and Control 2.93 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions The Laplace transform of the equations of motion + 𝑀1 𝑠2 + 𝑓𝑣1 + 𝑓𝑣3 𝑠 + 𝐾1 + 𝐾2 𝑋1 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 𝑋2 = 𝐹 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 𝑋1 + 𝑀2 𝑠2 + 𝑓𝑣2 + 𝑓𝑣3 𝑠 + 𝐾2 + 𝐾3 𝑋2 = 0 The Laplace transform of the equations of motion 𝑋2 = 𝑀1 𝑠2 + 𝑓𝑣1 + 𝑓𝑣3 𝑠 + 𝐾1 + 𝐾2 𝐹 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 0 βˆ† = 𝑓𝑣3 𝑠 + 𝐾2 𝐹 βˆ† where βˆ† = 𝑀1 𝑠2 + 𝑓𝑣1 +𝑓𝑣3 𝑠+ 𝐾1 +𝐾2 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 𝑀2 𝑠2 + 𝑓𝑣2 +𝑓𝑣3 𝑠+ 𝐾2 +𝐾3 The transfer function 𝐺 𝑠 = 𝑋2(𝑠) 𝐹(𝑠) = 𝑓𝑣3 𝑠 + 𝐾2 βˆ† System Dynamics and Control 2.94 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions Note The Laplace transform of the equations of motion of 𝑀1 + 𝑀1 𝑠2 + 𝑓𝑣1 + 𝑓𝑣3 𝑠 + 𝐾1 + 𝐾2 𝑋1 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 𝑋2 = 𝐹 The Laplace transform of the equations of motion of 𝑀2 βˆ’ 𝑓𝑣3 𝑠 + 𝐾2 𝑋1 + 𝑀2 𝑠2 + 𝑓𝑣2 + 𝑓𝑣3 𝑠 + 𝐾2 + 𝐾3 𝑋2 = 0 System Dynamics and Control 2.95 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions - Ex.2.18 Equations of Motion by Inspection Write the equations of motion for the mechanical network Solution The Laplace transform of the equations of motion of 𝑀1 + 𝑀1 𝑠2 + 𝑓𝑣1 + 𝑓𝑣3 𝑠 + 𝐾1 + 𝐾2 𝑋1 βˆ’ 𝐾2 𝑋2 βˆ’ 𝑓𝑣3 𝑋3 = 0 System Dynamics and Control 2.96 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 17. 1/11/2016 17 Β§5.Translational Mechanical System Transfer Functions The Laplace transform of the equations of motion of 𝑀2 βˆ’πΎ2 𝑋1 + [𝑀2 𝑠2 + 𝑓𝑣2 + 𝑓𝑣4 𝑠 + 𝐾2]𝑋2 βˆ’ 𝑓𝑣4 𝑠𝑋3 = 𝐹 System Dynamics and Control 2.97 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions The Laplace transform of the equations of motion of 𝑀3 βˆ’π‘“π‘£3 𝑠𝑋1 βˆ’ 𝑓𝑣4 𝑠𝑋2 + [𝑀3 𝑠2 + 𝑓𝑣3 + 𝑓𝑣4 𝑠]𝑋3 = 0 System Dynamics and Control 2.98 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions Skill-Assessment Ex.2.8 Problem Find the transfer function 𝐺 𝑠 = 𝑋2(𝑠) 𝐹(𝑠) Solution + 𝑀1 𝑠2 + 𝑓𝑣1 + 𝑓𝑣2 + 𝑓𝑣3 𝑠 + 𝐾 𝑋1 βˆ’ 𝑓𝑣1 + 𝑓𝑣2 + 𝑓𝑣3 𝑠 + 𝐾 𝑋2 = 𝐹 ⟹ +(𝑠2 + 3𝑠 + 1)𝑋1 βˆ’ (3𝑠 + 1)𝑋2 = 𝐹 System Dynamics and Control 2.99 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions βˆ’ 𝑓𝑣1 + 𝑓𝑣2 + 𝑓𝑣3 𝑠 + 𝐾 𝑋1 + 𝑀2 𝑠2 + 𝑓𝑣1 + 𝑓𝑣2 + 𝑓𝑣3 + 𝑓𝑣4 𝑠 + 𝐾 𝑋2 = 0 ⟹ βˆ’(3𝑠 + 1)𝑋1 + (𝑠2 + 4𝑠 + 1)𝑋2 = 0 System Dynamics and Control 2.100 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§5.Translational Mechanical System Transfer Functions + 𝑠2 + 3𝑠 + 1 𝑋1 βˆ’ 3𝑠 + 1 𝑋2 = 𝐹 βˆ’(3𝑠 + 1)𝑋1 + (𝑠2 + 4𝑠 + 1)𝑋2 = 0 The solution for 𝑋2 𝑋2 = 𝑠2 + 3𝑠 + 1 𝐹 βˆ’ 3𝑠 + 1 0 βˆ† = 3𝑠 + 1 𝐹 βˆ† where βˆ†= 𝑠2 + 3𝑠 + 1 βˆ’ 3𝑠 + 1 βˆ’ 3𝑠 + 1 𝑠2 + 4𝑠 + 1 = 𝑠(𝑠3 + 7𝑠2 + 5𝑠 + 1) ⟹ 𝐺 𝑠 = 𝑋2(𝑠) 𝐹(𝑠) = 3𝑠 + 1 𝑠(𝑠3 + 7𝑠2 + 5𝑠 + 1) System Dynamics and Control 2.101 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§6.Rotational Mechanical System Transfer Functions System Dynamics and Control 2.102 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 18. 1/11/2016 18 Β§6.Rotational Mechanical System Transfer Functions - Ex.2.19 Transfer Function – Two Equations of Motion Find the transfer function, πœƒ2(𝑠)/𝑇(𝑠), for the rotational system shown in figure. The rod is supported by bearings at either end and is undergoing torsion. A torque is applied at the left, and the displacement is measured at the right Solution First, obtain the schematic from the physical system System Dynamics and Control 2.103 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§6.Rotational Mechanical System Transfer Functions Next, draw a free-body diagram of 𝐽1 vΓ  𝐽2, using superposition 𝐽1 𝑠2 + 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠) (2.127.a) βˆ’πΎ1 πœƒ1 𝑠 + (𝐽2 𝑠2 + 𝐷2 𝑠 + 𝐾)πœƒ2 𝑠 = 0 (2.127.b) System Dynamics and Control 2.104 Modeling in Frequency Domain Final free-body diagram for 𝐽2 Torques on 𝐽2 due only to the motion of 𝐽2 Torques on 𝐽2 due only to the motion of 𝐽1 Final free-body diagram for 𝐽1 Torques on 𝐽1 due only to the motion of 𝐽1 Torques on 𝐽1 due only to the motion of 𝐽2 HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§6.Rotational Mechanical System Transfer Functions 𝐽1 𝑠2 + 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠)(2.127.a) βˆ’πΎ1 πœƒ1 𝑠 + (𝐽2 𝑠2 + 𝐷2 𝑠 + 𝐾)πœƒ2 𝑠 = 0 (2.127.b) The solution for πœƒ2 πœƒ2 = 𝐽1 𝑠2 + 𝐷1 𝑠 + 𝐾 𝑇 βˆ’πΎ 0 βˆ† = 𝐾𝑇 βˆ† where βˆ†= 𝐽1 𝑠2 + 𝐷1 𝑠 + 𝐾 βˆ’πΎ βˆ’πΎ 𝐽2 𝑠2 + 𝐷2 𝑠 + 𝐾 ⟹ 𝐺 𝑠 = πœƒ2(𝑠) 𝑇(𝑠) = 𝐾 βˆ† System Dynamics and Control 2.105 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§6.Rotational Mechanical System Transfer Functions Note 𝐽1 𝑠2 + 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠) (2.127.a) βˆ’πΎ1 πœƒ1 𝑠 + (𝐽2 𝑠2 + 𝐷2 𝑠 + 𝐾)πœƒ2 𝑠 = 0 (2.127.b) System Dynamics and Control 2.106 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§6.Rotational Mechanical System Transfer Functions - Ex.2.20 Equations of Motion by Inspection Write the Laplace transform of the equations of motion for the system shown in the figure Solution The Laplace transform of the equations of motion of 𝐽1 + 𝐽1 𝑠2 + 𝐷1 𝑠 + 𝐾 πœƒ1 βˆ’ πΎπœƒ2 βˆ’ 0πœƒ3 = 𝑇(𝑠) (2.131.a) System Dynamics and Control 2.107 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§6.Rotational Mechanical System Transfer Functions The Laplace transform of the equations of motion of 𝐽2 βˆ’πΎπœƒ1 + 𝐽2 𝑠2 + 𝐷2 𝑠 + 𝐾 πœƒ2 βˆ’ 𝐷2 π‘ πœƒ3 = 0 (2.131.b) System Dynamics and Control 2.108 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 19. 1/11/2016 19 Β§6.Rotational Mechanical System Transfer Functions The Laplace transform of the equations of motion of 𝐽3 βˆ’0πœƒ1 βˆ’ 𝐷2 π‘ πœƒ2 + 𝐽3 𝑠2 + 𝐷3 𝑠 + 𝐷2 𝑠 πœƒ3 = 0 (2.131.c) System Dynamics and Control 2.109 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§6.Rotational Mechanical System Transfer Functions Skill-Assessment Ex.2.9 Problem Find the transfer function 𝐺 𝑠 = πœƒ2(𝑠) 𝑇(𝑠) Solution The equations of motion + 𝑠2 + 𝑠 + 1 πœƒ1 𝑠 βˆ’ (𝑠 + 1)πœƒ2 𝑠 = 𝑇(𝑠) βˆ’ 𝑠 + 1 πœƒ1 𝑠 + (2𝑠 + 2)πœƒ2 𝑠 = 0 System Dynamics and Control 2.110 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§6.Rotational Mechanical System Transfer Functions The equations of motion 𝑠2 + 𝑠 + 1 πœƒ1 𝑠 βˆ’ (𝑠 + 1)πœƒ2 𝑠 = 𝑇(𝑠) βˆ’ 𝑠 + 1 πœƒ1 𝑠 + (2𝑠 + 2)πœƒ2 𝑠 = 0 Solving for πœƒ2(𝑠) πœƒ2 = 𝑠2 + 𝑠 + 1 𝑇 βˆ’ 𝑠 + 1 0 𝑠2 + 𝑠 + 1 βˆ’(𝑠 + 1) βˆ’ 𝑠 + 1 2𝑠 + 2 = (𝑠 + 1)𝑇 2𝑠3 + 3𝑠2 + 2𝑠 + 1 ⟹ 𝐺 𝑠 = πœƒ2(𝑠) 𝑇(𝑠) = 𝑠 + 1 2𝑠3 + 3𝑠2 + 2𝑠 + 1 System Dynamics and Control 2.111 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears Kinematic relationship πœƒ2 πœƒ1 = π‘Ÿ1 π‘Ÿ2 = 𝑁1 𝑁2 Power on gears 𝑇1 πœƒ1 = 𝑇2 πœƒ2 The ratio of torques on two gears 𝑇2 𝑇1 = πœƒ1 πœƒ2 = 𝑁2 𝑁1 πœƒ1, πœƒ2 : rotation angles of gear 1 and 2, π‘Ÿπ‘Žπ‘‘ π‘Ÿ1, π‘Ÿ2 : radius of gear 1 and 2, π‘š 𝑁1, 𝑁2 : number of teeth of gear 1 and 2 𝑇1, 𝑇2 : torques on gear 1 and 2, π‘π‘š System Dynamics and Control 2.112 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears What happens to mechanical impedances that are driven by gears? (a) : gears driving a rotational inertia, spring, and viscous damper (b) : an equivalent system at πœƒ1 without the gears Can the mechanical impedances be reflected from the output to the input, thereby eliminating the gears? System Dynamics and Control 2.113 Modeling in Frequency Domain b.equivalentsystem at the output after reflection of input torque a.rotational system driven by gears HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears 𝑇1 can be reflected to the output by multiplying by 𝑁2/𝑁1 𝐽𝑠2 + 𝐷𝑠 + 𝐾 πœƒ2 𝑠 = 𝑇1(𝑠) 𝑁2 𝑁1 Convert πœƒ2(𝑠) into an equivalent πœƒ1(𝑠), so that 𝐽𝑠2 + 𝐷𝑠 + 𝐾 𝑁1 𝑁2 πœƒ1 𝑠 = 𝑇1(𝑠) 𝑁2 𝑁1 System Dynamics and Control 2.114 Modeling in Frequency Domain b.equivalentsystem at the output after reflection of input torque a.rotational system driven by gears (2.131) (2.132) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 20. 1/11/2016 20 Β§7.Transfer Functions for Systems with Gears 𝐽𝑠2 + 𝐷𝑠 + 𝐾 πœƒ2 𝑠 = 𝑇1(𝑠)(𝑁2/𝑁1) (2.131) 𝐽𝑠2 + 𝐷𝑠 + 𝐾 (𝑁2/𝑁1)πœƒ1 𝑠 = 𝑇1(𝑠)(𝑁2/𝑁1) (2.132) ⟹ 𝐽 𝑁1 𝑁2 2 𝑠2 + 𝐷 𝑁1 𝑁2 2 𝑠 + 𝐾 𝑁1 𝑁2 2 πœƒ1 𝑠 = 𝑇1(𝑠) Thus, the load can be thought of as having been reflected from the output to the input System Dynamics and Control 2.115 Modeling in Frequency Domain (2.133) b.equivalentsystem at the output after reflection of input torque c.equivalent system at the input after reflection of impedances a.rotational system driven by gears HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears Generalizing the results Rotational mechanical impedances can be reflected through gear trains by multiplying the mechanical impedance by the ratio where the impedance to be reflected is attached to the source shaft and is being reflected to the destination shaft System Dynamics and Control 2.116 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears - Ex.2.21 Transfer Function - System with Lossless Gears Find the transfer function, πœƒ2(𝑠)/𝑇1(𝑠), for the system Solution Reflect the impedances (𝐽1 and 𝐷1) and torque (𝑇1) on the input shaft to the output, where the impedances are reflected by (𝑁1/𝑁2)2 and the torque is reflected by (𝑁1/𝑁2) The equation of motion can now be written as 𝐽𝑒 𝑠2 + 𝐷𝑒 𝑠 + 𝐾𝑒 πœƒ2 𝑠 = 𝑇1 𝑠 (𝑁2/𝑁1) (2.139) System Dynamics and Control 2.117 Modeling in Frequency Domain b.system after reflection of torques and impedances to the output shaft a.rotationalmechanicalsystemwithgears HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears 𝐽𝑒 𝑠2 + 𝐷𝑒 𝑠 + 𝐾𝑒 πœƒ2 𝑠 = 𝑇1 𝑠 (𝑁2/𝑁1) (2.139) where, 𝐽 𝑒 = 𝐽1(𝑁2/𝑁1)2 +𝐽2, 𝐷𝑒 = 𝐷1(𝑁2/𝑁1)2 +𝐷2, 𝐾𝑒 = 𝐾2 Solving for 𝐺(𝑠) 𝐺 𝑠 = πœƒ2(𝑠) 𝑇1(𝑠) = 𝑁2/𝑁1 𝐽 𝑒 𝑠2 + 𝐷𝑒 𝑠 + 𝐾𝑒 System Dynamics and Control 2.118 Modeling in Frequency Domain b.system after reflection of torques and impedances to the output shaft a.rotationalmechanicalsystemwithgears HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears - In order to eliminate gears with large radii, a gear train is used to implement large gear ratios by cascading smaller gear ratios. πœƒ4 = 𝑁1 𝑁3 𝑁5 𝑁2 𝑁4 𝑁6 πœƒ1 - For gear trains, the equivalent gear ratio is the product of the individual gear ratios System Dynamics and Control 2.119 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears - Ex.2.22 Transfer Function – Gears with Loss Find the transfer function, πœƒ1(𝑠)/𝑇1(𝑠), for the system Solution Reflect all of the impedances to the input shaft, πœƒ1 The equation of motion can now be written as 𝐽𝑒 𝑠2 + 𝐷𝑒 𝑠 πœƒ1 𝑠 = 𝑇1 𝑠 The transfer function 𝐺 𝑠 = πœƒ1 𝑠 /𝑇1 𝑠 = 1/(𝐽 𝑒 𝑠2 + 𝐷𝑒 𝑠) System Dynamics and Control 2.120 Modeling in Frequency Domain b.equivalent system at the inputa.system using a gear train HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 21. 1/11/2016 21 Β§7.Transfer Functions for Systems with Gears Skill-Assessment Ex.2.10 Problem Find the TF 𝐺 𝑠 = πœƒ2(𝑠) 𝑇(𝑠) Solution Transforming the network to one without gears by reflecting the 4π‘π‘š/π‘Ÿπ‘Žπ‘‘ spring to the left and multiplying by (25/50)2 4[π‘π‘š/π‘Ÿπ‘Žπ‘‘] Γ— 25 50 2 = 1[π‘π‘š/π‘Ÿπ‘Žπ‘‘] System Dynamics and Control 2.121 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears The equation of motion + 𝑠2 + 𝑠 πœƒ1 𝑠 βˆ’ π‘ πœƒ π‘Ž 𝑠 = 𝑇(𝑠) βˆ’π‘ πœƒ1 𝑠 + (𝑠 + 1)πœƒ π‘Ž 𝑠 = 0 System Dynamics and Control 2.122 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§7.Transfer Functions for Systems with Gears The equation of motion 𝑠2 + 𝑠 πœƒ1 𝑠 βˆ’ π‘ πœƒ π‘Ž 𝑠 = 𝑇(𝑠) βˆ’π‘ πœƒ1 𝑠 + (𝑠 + 1)πœƒ π‘Ž 𝑠 = 0 Solving for πœƒ π‘Ž(𝑠) πœƒ π‘Ž 𝑠 = 𝑠2 + 𝑠 𝑇 βˆ’π‘  0 𝑠2 + 𝑠 βˆ’π‘  βˆ’π‘  𝑠 + 1 = 𝑠𝑇(𝑠) 𝑠3 + 𝑠2 + 𝑠 ⟹ πœƒ π‘Ž 𝑠 𝑇(𝑠) = 1 𝑠2 + 𝑠 + 1 The transfer function πœƒ2 𝑠 𝑇(𝑠) = 1 2 πœƒ π‘Ž 𝑠 𝑇(𝑠) = 1/2 𝑠2 + 𝑠 + 1 System Dynamics and Control 2.123 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions System Dynamics and Control 2.124 Modeling in Frequency Domain NASA flight simulator robot arm with electromechanical control system components HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions - A motor is an electromechanical component that yields a displacement output for a voltage input, that is, a mechanical output generated by an electrical input - Derive the transfer function for the armature-controlled dc servomotor (Mablekos, 1980) β€’ Fixed field: a magnetic field is developed by stationary permanent magnets or a stationary electromagnet β€’ Armature: a rotating circuit, through which current 𝑖 π‘Ž(𝑑) flows, passes through this magnetic field at right angles and feels a force 𝐹 = 𝐡𝑙𝑖 π‘Ž(𝑑) 𝐡 : the magnetic field strength 𝑙 : the length of the conductor System Dynamics and Control 2.125 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions β€’ A conductor moving at right angles to a magnetic field generates a voltage at the terminals of the conductor equal to 𝑒 = 𝐡𝑙𝑣 𝑒 : the voltage 𝑣 : the velocity of the conductor normal to the magnetic field β€’ The current-carrying armature is rotating in a magnetic field, its voltage is proportional to speed 𝑣 𝑏 𝑑 = 𝐾𝑏 πœƒ π‘š(𝑑) (2.144) 𝑣 𝑏 𝑑 : the back electromotive force (back emf) 𝐾𝑏 : a constant of proportionality called the back emf constant πœƒ π‘š(𝑑): the angular velocity of the motor System Dynamics and Control 2.126 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 22. 1/11/2016 22 Β§8.Electromechanical System Transfer Functions β€’ Taking the Laplace transform 𝑉𝑏(𝑠) = 𝐾𝑏 π‘ πœƒ π‘š(𝑠) (2.145) β€’ The relationship between the armature current, 𝑖 π‘Ž(𝑑), the applied armature voltage, 𝑒 π‘Ž(𝑑), and the back emf, 𝑣 𝑏(𝑑) 𝑅 π‘Ž 𝐼 π‘Ž 𝑠 + 𝐿 π‘Ž 𝑠𝐼 π‘Ž 𝑠 + 𝑉𝑏 𝑠 = 𝐸 π‘Ž 𝑠 (2.146) β€’ The torque developed by the motor is proportional to the armature current 𝑇 π‘š 𝑠 = 𝐾𝑑 𝐼 π‘Ž 𝑠 (2.147) 𝑇 π‘š : the torque developed by the motor 𝐾𝑑 : the motor torque constant, which depends on the motor and magnetic field characteristics System Dynamics and Control 2.127 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien 𝑉𝑏(𝑠) = 𝐾𝑏 π‘ πœƒ π‘š(𝑠) (2.145), 𝑅 π‘Ž 𝐼 π‘Ž 𝑠 + 𝐿 π‘Ž 𝑠𝐼 π‘Ž 𝑠 + 𝑉𝑏 𝑠 = 𝐸 π‘Ž 𝑠 (2.146) Β§8.Electromechanical System Transfer Functions β€’ Rearranging Eq.(2.147) 𝐼 π‘Ž(𝑠) = 1 𝐾𝑑 𝑇 π‘š(𝑠) β€’ To find the TF of the motor, first substitute Eqs. (2.145) and (2.148) into (2.146), yielding (𝑅 π‘Ž + 𝐿 π‘Ž 𝑠)𝑇 π‘š(𝑠) 𝐾𝑑 + 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = 𝐸 π‘Ž 𝑠 β€’ Then, find 𝑇 π‘š(𝑠) in terms of πœƒ π‘š(𝑠), separate the input and output variables and obtain the transfer function, πœƒ π‘š(𝑠)/𝐸 π‘Ž(𝑠) System Dynamics and Control 2.128 Modeling in Frequency Domain (2.148) (2.149) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien (𝑅 π‘Ž+𝐿 π‘Ž 𝑠)𝑇 π‘š(𝑠) 𝐾𝑑 + 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = 𝐸 π‘Ž 𝑠 (2.149) Β§8.Electromechanical System Transfer Functions β€’ A typical equivalent mechanical loading on a motor 𝐽 π‘š : the equivalent inertia at the armature and includes both the armature inertia and, the load inertia reflected to the armature 𝐷 π‘š : the equivalent viscous damping at the armature and includes both the armature viscous damping and, the load viscous damping reflected to the armature 𝑇 π‘š 𝑠 = (𝐽 π‘š 𝑠2 + 𝐷 π‘š 𝑠)πœƒ π‘š(𝑠) (2.150) β€’ Substituting Eq.(2.150) into Eq.(2.149) (𝑅 π‘Ž + 𝐿 π‘Ž 𝑠)(𝐽 π‘š 𝑠2 + 𝐷 π‘š 𝑠)πœƒ π‘š(𝑠) 𝐾𝑑 + 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = πΈπ‘Ž(𝑠) System Dynamics and Control 2.129 Modeling in Frequency Domain (2.151) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien (𝑅 π‘Ž+𝐿 π‘Ž 𝑠)(𝐽 π‘š 𝑠2+𝐷 π‘š 𝑠)πœƒ π‘š(𝑠) 𝐾𝑑 + 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = πΈπ‘Ž(𝑠) (2.151) Β§8.Electromechanical System Transfer Functions β€’ Assume that the armature inductance, 𝐿 π‘Ž, is small compared to the armature resistance, 𝑅 π‘Ž, which is usual for a dc motor, Eq. (2.151) becomes 𝑅 π‘Ž 𝐾𝑑 𝐽 π‘š 𝑠 + 𝐷 π‘š + 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = 𝐸 π‘Ž(𝑠) β€’ After simplification πœƒ π‘š(𝑠) 𝐸 π‘Ž(𝑠) = 𝐾𝑑 𝑅 π‘Ž 1 𝐽 π‘š 𝑠 𝑠 + 1 𝐽 π‘š 𝐷 π‘š + 𝐾𝑑 𝑅 π‘Ž 𝐾𝑏 β€’ The form of Eq.(2.153) πœƒ π‘š(𝑠) 𝐸 π‘Ž(𝑠) = 𝐾 𝑠(𝑠 + 𝛼) System Dynamics and Control 2.130 Modeling in Frequency Domain (2.153) (2.154) (2.152) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions β€’ Let us first discuss the mechanical constants, 𝐽 π‘š and 𝐷 π‘š. Consider the figure: a motor with inertia 𝐽 π‘Ž and damping 𝐷 π‘Ž at the armature driving a load consisting of inertia 𝐽 𝐿 and damping 𝐷 𝐿 Assuming that all inertia and damping values shown are known, 𝐽 𝐿 and 𝐷 𝐿 can be reflected back to the armature as some equivalent inertia and damping to be added to 𝐽 π‘Ž and 𝐷 π‘Ž , respectively. Thus, the equivalent inertia, 𝐽 π‘š , and equivalent damping, 𝐷 π‘š, at the armature are 𝐽 π‘š = 𝐽 π‘Ž + 𝐽𝐿 𝑁1 𝑁2 2 𝐷 π‘š = 𝐷 π‘Ž + 𝐷𝐿 𝑁1 𝑁2 2 System Dynamics and Control 2.131 Modeling in Frequency Domain (2.155.a) (2.155.b) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien 𝑉𝑏(𝑠) = 𝐾𝑏 π‘ πœƒ π‘š(𝑠) (2.145), 𝑅 π‘Ž πΌπ‘Ž 𝑠 + 𝐿 π‘Ž π‘ πΌπ‘Ž 𝑠 + 𝑉𝑏 𝑠 = πΈπ‘Ž 𝑠 (2.146), πΌπ‘Ž(𝑠) = 1 𝐾𝑑 𝑇 π‘š(𝑠) (2.148) Β§8.Electromechanical System Transfer Functions β€’ Substituting Eqs.(2.145), (2.148) into Eq. (2.146), with 𝐿 π‘Ž = 0 𝑅 π‘Ž 𝐾𝑑 𝑇 π‘š 𝑠 + 𝐾𝑏 π‘ πœƒ π‘š 𝑠 = 𝐸 π‘Ž 𝑠 Taking the inverse Laplace transform 𝑅 π‘Ž 𝐾𝑑 𝑇 π‘š 𝑑 + 𝐾𝑏 πœ” π‘š 𝑑 = 𝑒 π‘Ž 𝑑 β€’ When the motor is operating at steady state with a dc voltage input 𝑅 π‘Ž 𝐾𝑑 𝑇 π‘š + 𝐾𝑏 πœ” π‘š = 𝑒 π‘Ž ⟹ 𝑇 π‘š = βˆ’ 𝐾𝑏 𝐾𝑑 𝑅 π‘Ž πœ” π‘š + 𝐾𝑑 𝑅 π‘Ž 𝑒 π‘Ž System Dynamics and Control 2.132 Modeling in Frequency Domain (2.156) (2.157) (2.158) (2.159) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 23. 1/11/2016 23 Β§8.Electromechanical System Transfer Functions The stall torque π‘‡π‘ π‘‘π‘Žπ‘™π‘™ = 𝐾𝑑 𝑅 π‘Ž 𝑒 π‘Ž The no-load speed πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ = 𝑒 π‘Ž 𝐾𝑏 The electrical constants of the motor 𝐾𝑑 𝑅 π‘Ž = π‘‡π‘ π‘‘π‘Žπ‘™π‘™ 𝑒 π‘Ž 𝐾𝑏 = 𝑒 π‘Ž πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ The electrical constants, 𝐾𝑑/𝑅 π‘Ž and 𝐾𝑏, can be found from a dynamometer test of the motor, which would yield π‘‡π‘ π‘‘π‘Žπ‘™π‘™ and πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ for a given 𝑒 π‘Ž System Dynamics and Control 2.133 Modeling in Frequency Domain (2.160) (2.161) (2.162) (2.163) HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions - Ex.2.23 Transfer Function-DC Motor and Load Given the system and torque-speed curve, find the TF, System Dynamics and Control 2.134 Modeling in Frequency Domain πœƒ 𝐿 𝑠 𝐸 π‘Ž 𝑠 HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions Solution Find the mechanical constants 𝐽 π‘š = 𝐽 π‘Ž + 𝐽𝐿 𝑁1 𝑁2 2 = 5 + 700 Γ— 100 1000 2 = 12 𝐷 π‘š = 𝐷 π‘Ž + 𝐷 𝐿 𝑁1 𝑁2 2 = 2 + 800 Γ— 100 1000 2 = 10 System Dynamics and Control 2.135 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions Find the electrical constants from the torque-speed curve π‘‡π‘ π‘‘π‘Žπ‘™π‘™ = 500, πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ = 50, 𝑒 π‘Ž = 100 𝐾𝑑 𝑅 π‘Ž = π‘‡π‘ π‘‘π‘Žπ‘™π‘™ 𝑒 π‘Ž = 500 100 = 5 𝐾𝑏 = 𝑒 π‘Ž πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ = 100 50 = 2 System Dynamics and Control 2.136 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions The transfer function πœƒ π‘š(𝑠)/𝐸 π‘Ž(𝑠) πœƒ π‘š(𝑠) 𝐸 π‘Ž(𝑠) = 𝐾𝑑 𝑅 π‘Ž 1 𝐽 π‘š 𝑠 𝑠 + 1 𝐽 π‘š 𝐷 π‘š + 𝐾𝑑 𝑅 π‘Ž 𝐾𝑏 = 5 Γ— 1 12 𝑠 𝑠 + 1 12 Γ— 10 + 5 Γ— 2 = 0.417 𝑠(𝑠 + 1.667) The transfer function πœƒ 𝐿(𝑠)/𝐸 π‘Ž(𝑠) πœƒ 𝐿(𝑠) 𝐸 π‘Ž(𝑠) = πœƒ π‘š(𝑠) 𝑁1 𝑁2 𝐸 π‘Ž(𝑠) = 0.417 Γ— 100 1000 𝑠(𝑠 + 1.667) = 0.0417 𝑠(𝑠 + 1.667) System Dynamics and Control 2.137 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions Skill-Assessment Ex.2.11 Problem Find the TF, 𝐺 𝑠 = πœƒ 𝐿(𝑠)/𝐸𝑠(𝑠), for the motor and load system. The torque-speed curve is given by 𝑇 π‘š = βˆ’ 8πœ” π‘š + 200 when the input voltage is 100π‘£π‘œπ‘™π‘‘π‘  Solution Find the mechanical constants 𝐽 π‘š = 𝐽 π‘Ž + 𝐽𝐿 𝑁1 𝑁2 𝑁3 𝑁4 2 = 1 + 400 Γ— 20 100 Γ— 25 100 2 = 2 𝐷 π‘š = 𝐷 π‘Ž + 𝐷𝐿 𝑁1 𝑁2 𝑁3 𝑁4 2 = 5 + 800 Γ— 20 100 Γ— 25 100 2 = 7 System Dynamics and Control 2.138 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 24. 1/11/2016 24 𝑇 π‘š = βˆ’8πœ” π‘š + 200 Β§8.Electromechanical System Transfer Functions Find the electrical constants from the torque-speed eq. πœ” π‘š = 0 ⟹ 𝑇 π‘š = 200 𝑇 π‘š = 0 ⟹ πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ = 200/8 = 25 𝐾𝑑 𝑅 π‘Ž = π‘‡π‘ π‘‘π‘Žπ‘™π‘™ 𝐸 π‘Ž = 200 100 = 2 𝐾𝑏 = 𝐸 π‘Ž πœ” π‘›π‘œβˆ’π‘™π‘œπ‘Žπ‘‘ = 100 25 = 4 System Dynamics and Control 2.139 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§8.Electromechanical System Transfer Functions Substituting all values into the motor transfer function πœƒ π‘š(𝑠) 𝐸 π‘Ž(𝑠) = 𝐾𝑑 𝑅 π‘Ž 1 𝐽 π‘š 𝑠 𝑠 + 1 𝐽 π‘š 𝐷 π‘š + 𝐾𝑑 𝑅 π‘Ž 𝐾𝑏 = 2 Γ— 1 2 𝑠 𝑠 + 1 2 7 + 2 Γ— 4 = 1 𝑠(𝑠 + 7.5) The transfer function πœƒ 𝐿(𝑠)/𝐸 π‘Ž(𝑠) πœƒ 𝐿(𝑠) 𝐸 π‘Ž(𝑠) = πœƒ π‘š(𝑠) 𝑁1 𝑁2 𝑁3 𝑁4 𝐸 π‘Ž(𝑠) = 20 100 Γ— 25 100 𝑠(𝑠 + 7.5) = 0.05 𝑠(𝑠 + 7.5) System Dynamics and Control 2.140 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§9.Electric Circuit Analogs - Electric circuit analog: an electric circuit that is analogous to a system from another discipline - In the commonality of systems from the various disciplines, the mechanical systems can be represented by equivalent electric circuits - Analogs can be obtained by comparing the describing equations, such as the equations of motion of a mechanical system, with either electrical mesh or nodal equations β€’ When compared with mesh equations, the resulting electrical circuit is called a series analog β€’ When compared with nodal equations, the resulting electrical circuit is called a parallel analog System Dynamics and Control 2.141 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§9.Electric Circuit Analogs Series Analog Consider the translational mechanical system, the equation of motion 𝑀𝑠2 + 𝑓𝑣 𝑠 + 𝐾 𝑋 𝑠 = 𝐹 𝑠 = 𝑀𝑠2 + 𝑓𝑣 𝑠 + 𝐾 𝑠 𝑠𝑋 𝑠 ⟹ 𝑀𝑠 + 𝑓𝑣 + 𝐾 𝑠 𝑉 𝑠 = 𝐹(𝑠) Kirchhoff’s mesh equation for the simple series RLC network 𝐿𝑠 + 𝑅 + 1 𝐢𝑠 𝐼 𝑠 = 𝐸(𝑠) System Dynamics and Control 2.142 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§9.Electric Circuit Analogs Parameters for series analog mass = 𝑀 ⟹ inductor 𝐿 = 𝑀 henries viscous damper = 𝑓𝑣 ⟹ resistor 𝑅 = 𝑓𝑣ohms spring = 𝐾 ⟹ capacitor 𝐢 = 1/𝐾 farads applied force = 𝑓(𝑑) ⟹ voltage source 𝑒 𝑑 = 𝑓(𝑑) velocity = 𝑣(𝑑) ⟹ mesh current 𝑖 𝑑 = 𝑣(𝑑) System Dynamics and Control 2.143 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§9.Electric Circuit Analogs - Ex.2.24 Converting a Mechanical System to a Series Analog Draw a series analog for the mechanical system Solution The equations of motion with 𝑋(𝑠) β†’ 𝑉(𝑠) 𝑀1 𝑠 + 𝑓𝑣1 + 𝑓𝑣3 + 𝐾1 + 𝐾2 𝑠 𝑉1 𝑠 βˆ’ 𝑓𝑣3 + 𝐾2 𝑠 𝑉2 𝑠 = 𝐹(𝑠) βˆ’ 𝑓𝑣3 + 𝐾2 𝑠 𝑉1 𝑠 + 𝑀2 𝑠 + 𝑓𝑣2 + 𝑓𝑣3 + 𝐾2 + 𝐾3 𝑠 𝑉2 𝑠 = 0 System Dynamics and Control 2.144 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 25. 1/11/2016 25 + 𝑀1 𝑠 + 𝑓𝑣1 + 𝑓𝑣3 + 𝐾1+𝐾2 𝑠 𝑉1 𝑠 βˆ’ 𝑓𝑣3 + 𝐾2 𝑠 𝑉2 𝑠 = 𝐹(𝑠) βˆ’ 𝑓𝑣3 + 𝐾2 𝑠 𝑉1 𝑠 + 𝑀2 𝑠 + 𝑓𝑣2 + 𝑓𝑣3 + 𝐾2+𝐾3 𝑠 𝑉2 𝑠 = 0 Β§9.Electric Circuit Analogs Coefficients represent sums of electrical impedance. Mechanical impedances associated with 𝑀1 form the first mesh, where impedances between the two masses are common to the two loops. Impedances associated with 𝑀2 form the second mesh 𝑣1(𝑑) and 𝑣2(𝑑)are the velocities of 𝑀1 and 𝑀2, respectively System Dynamics and Control 2.145 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§9.Electric Circuit Analogs Parallel Analog Consider the translational mechanical system, the equation of motion 𝑀𝑠 + 𝑓𝑣 + 𝐾 𝑠 𝑉 𝑠 = 𝐹(𝑠) Kirchhoff’s nodal equation for the simple parallel RLC network 𝐢𝑠 + 1 𝑅𝑠 + 1 𝐿𝑠 𝐸 𝑠 = 𝐼(𝑠) System Dynamics and Control 2.146 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§9.Electric Circuit Analogs Parameters for parallel analog mass = 𝑀 ⟹ capacitor 𝐢 = 𝑀 farads viscous damper = 𝑓𝑣 ⟹ resistor 𝑅 = 1/𝑓𝑣 ohms spring = 𝐾 ⟹ inductor 𝐿 = 1/𝐾 henries applied force = 𝑓(𝑑) ⟹ current source 𝑖(𝑑) = 𝑓(𝑑) velocity = 𝑣(𝑑) ⟹ node voltage 𝑒(𝑑) = 𝑣(𝑑) System Dynamics and Control 2.147 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§9.Electric Circuit Analogs - Ex.2.25 Converting a Mechanical System to a Parallel Analog Draw a parallel analog for the mechanical system Solution The equations of motion with 𝑋(𝑠) β†’ 𝑉(𝑠) 𝑀1 𝑠 + 𝑓𝑣1 + 𝑓𝑣3 + 𝐾1 + 𝐾2 𝑠 𝑉1 𝑠 βˆ’ 𝑓𝑣3 + 𝐾2 𝑠 𝑉2 𝑠 = 𝐹(𝑠) βˆ’ 𝑓𝑣3 + 𝐾2 𝑠 𝑉1 𝑠 + 𝑀2 𝑠 + 𝑓𝑣2 + 𝑓𝑣3 + 𝐾2 + 𝐾3 𝑠 𝑉2 𝑠 = 0 System Dynamics and Control 2.148 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien + 𝑀1 𝑠 + 𝑓𝑣1 + 𝑓𝑣3 + 𝐾1+𝐾2 𝑠 𝑉1 𝑠 βˆ’ 𝑓𝑣3 + 𝐾2 𝑠 𝑉2 𝑠 = 𝐹(𝑠) βˆ’ 𝑓𝑣3 + 𝐾2 𝑠 𝑉1 𝑠 + 𝑀2 𝑠 + 𝑓𝑣2 + 𝑓𝑣3 + 𝐾2+𝐾3 𝑠 𝑉2 𝑠 = 0 Β§9.Electric Circuit Analogs Coefficients represent sums of electrical admittances. Admittances associated with 𝑀1 form the elements connected to the first node, where mechanical admittances between the two masses are common to the two nodes. Mechanical admittances associated with 𝑀2 form the elements connected to the second node 𝑣1(𝑑) and 𝑣2(𝑑) are the velocities of 𝑀1 and 𝑀2, respectively System Dynamics and Control 2.149 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§9.Electric Circuit Analogs Skill-Assessment Ex.2.12 Problem Draw a series and parallel analog for the rotational mechanical system Solution The equations of motion + 𝐽1 𝑠2 + 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠) βˆ’πΎπœƒ1 𝑠 + 𝐽2 𝑠2 + 𝐷2 𝑠 + 𝐾 πœƒ2 𝑠 = 0 System Dynamics and Control 2.150 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 26. 1/11/2016 26 Β§9.Electric Circuit Analogs 𝐽1 𝑠2 + 𝐷1 𝑠 + 𝐾 πœƒ1 𝑠 βˆ’ πΎπœƒ2 𝑠 = 𝑇(𝑠) βˆ’πΎπœƒ1 𝑠 + 𝐽2 𝑠2 + 𝐷2 𝑠 + 𝐾 πœƒ2 𝑠 = 0 Leting πœƒ1 𝑠 = πœ”1(𝑠)/𝑠, πœƒ2 𝑠 = πœ”2(𝑠)/𝑠 𝐽1 𝑠 + 𝐷1 + 𝐾 𝑠 πœ”1 𝑠 βˆ’ 𝐾 𝑠 πœ”2 𝑠 = 𝑇(𝑠) βˆ’ 𝐾 𝑠 πœ”1 𝑠 + 𝐽2 𝑠 + 𝐷2 + 𝐾 𝑠 πœ”2 𝑠 = 0 From these equations, draw both series and parallel analogs by considering these to be mesh or nodal equations, respectively System Dynamics and Control 2.151 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§10.Nonlinearities - A linear system possesses two properties β€’ Superposition β€’ Homogeneity - Some examples of physical nonlinearities System Dynamics and Control 2.152 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization - To obtain transfer function from a nonlinear system β€’ Recognize the nonlinear component and write the nonlinear differential equation β€’ Find the steady-state solution is called equilibrium β€’ Linearize the nonlinear differential equation β€’ Take the Laplace transform of the linearized differential equation, assuming zero initial conditions β€’ Separate input and output variables and form the transfer function System Dynamics and Control 2.153 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization - Assume a nonlinear system operating at point 𝐴, [π‘₯0, 𝑓(π‘₯0)], small changes in the input can be related to changes in the output about the point by way of the slope of the curve at the point 𝐴 𝑓 π‘₯ βˆ’ 𝑓(π‘₯0) β‰ˆ π‘š π‘Ž(π‘₯ βˆ’ π‘₯0) ⟹ 𝛿𝑓 π‘₯ β‰ˆ π‘š π‘Ž 𝛿π‘₯ ⟹ 𝑓 π‘₯ β‰ˆ 𝑓 π‘₯0 + π‘š π‘Ž π‘₯ βˆ’ π‘₯0 β‰ˆ 𝑓 π‘₯0 + π‘š π‘Ž 𝛿π‘₯ π‘š π‘Ž : the slope of the curve at point 𝐴 Ξ΄π‘₯ : small excursions of the input about point 𝐴 𝛿𝑓(π‘₯): small changes in the output related by the slope at point 𝐴 System Dynamics and Control 2.154 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization - Ex.2.26 Linearizing a Function Linearize 𝑓 π‘₯ = 5π‘π‘œπ‘ π‘₯ about π‘₯ = πœ‹/2 Solution Using the linearized equation 𝑓 π‘₯ β‰ˆ 𝑓 π‘₯0 + π‘š π‘Ž 𝛿π‘₯ where 𝑓 πœ‹ 2 = 5π‘π‘œπ‘  πœ‹ 2 = 0 π‘š π‘Ž = 𝑑𝑓 𝑑π‘₯ π‘₯= πœ‹ 2 = (βˆ’5𝑠𝑖𝑛π‘₯) π‘₯= πœ‹ 2 = βˆ’5 The system can be presented as 𝑓 π‘₯ β‰ˆ βˆ’5𝛿π‘₯ for small excursions of π‘₯ about πœ‹/2 System Dynamics and Control 2.155 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization Taylor series expansion Taylor series expansion expresses the value of a function in terms of the value of that function at a particular point, the excursion away from that point, and derivatives evaluated at that point 𝑓 π‘₯ = 𝑓 π‘₯0 + 𝑑𝑓 𝑑π‘₯ π‘₯=π‘₯0 (π‘₯ βˆ’ π‘₯ π‘œ) 1! + 𝑑2 𝑓 𝑑π‘₯2 π‘₯=π‘₯0 (π‘₯ βˆ’ π‘₯ π‘œ)2 2! + β‹― For small excursions of π‘₯ from π‘₯0, the higher-order terms can be neglected 𝑓 π‘₯ = 𝑓 π‘₯0 + 𝑑𝑓 𝑑π‘₯ π‘₯=π‘₯0 (π‘₯ βˆ’ π‘₯ π‘œ) System Dynamics and Control 2.156 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 27. 1/11/2016 27 Β§11.Linearization - Ex.2.27 Linearizing a Differential Equation Linearize the following equation for small excursion about π‘₯ = πœ‹/4 𝑑2 π‘₯ 𝑑𝑑2 + 2 𝑑π‘₯ 𝑑𝑑 + π‘π‘œπ‘ π‘₯ = 0 Solution The presence of the term π‘π‘œπ‘ π‘₯ makes this equation nonlinear Since we want to linearize the equation about π‘₯ = πœ‹/4, we let π‘₯ = πœ‹/4 + 𝛿π‘₯, where 𝛿π‘₯ is the small excursion about πœ‹/4 𝑑2 (𝛿π‘₯ + πœ‹/4) 𝑑𝑑2 + 2 𝑑(𝛿π‘₯ + πœ‹/4) 𝑑𝑑 + π‘π‘œπ‘ (𝛿π‘₯ + πœ‹/4) = 0 𝑑2 (𝛿π‘₯ + πœ‹/4) 𝑑𝑑2 = 𝑑2 𝛿π‘₯ 𝑑𝑑2 𝑑(𝛿π‘₯ + πœ‹/4) 𝑑𝑑 = 𝑑𝛿π‘₯ 𝑑𝑑 System Dynamics and Control 2.157 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization 𝑓 π‘₯ = 𝑓 π‘₯0 + 𝑑𝑓 𝑑π‘₯ π‘₯=π‘₯0 (π‘₯ βˆ’ π‘₯0) 𝑓 π‘₯ = π‘π‘œπ‘ π‘₯ = π‘π‘œπ‘  𝛿π‘₯ + πœ‹/4 𝑓 π‘₯0 = 𝑓 πœ‹/4 = cos(πœ‹/4) = 2/2 π‘₯ βˆ’ π‘₯0 = 𝛿π‘₯ 𝑑𝑓 𝑑π‘₯ π‘₯=π‘₯0 = π‘‘π‘π‘œπ‘ π‘₯ 𝑑π‘₯ π‘₯=πœ‹/4 = βˆ’ sin πœ‹/4 = βˆ’ 2/2 ⟹ π‘π‘œπ‘  𝛿π‘₯ + πœ‹/4 = 2 2 + βˆ’ 2 2 𝛿π‘₯ The linearized differential equation 𝑑2 𝛿π‘₯ 𝑑𝑑2 + 2 𝑑𝛿π‘₯ 𝑑𝑑 βˆ’ 2 2 𝛿π‘₯ = βˆ’ 2 2 Solve this equation for 𝛿π‘₯, and obtain π‘₯ = 𝛿π‘₯ + πœ‹/4 System Dynamics and Control 2.158 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization - Ex.2.28 Transfer Function-Nonlinear Electrical Network Find the transfer function, 𝑉𝐿(𝑠)/𝑉(𝑠), for the electrical network, which contains a nonlinear resistor whose voltage-current relationship is defined by 𝑖 π‘Ÿ = 2𝑒0.1𝑣 π‘Ÿ , where 𝑖 π‘Ÿ and π‘£π‘Ÿ are the resistor current and voltage, respectively. Also, 𝑣(𝑑) is a small-signal source Solution From the voltage-current relationship 𝑖 π‘Ÿ = 2𝑒0.1𝑣 π‘Ÿ ⟹ π‘£π‘Ÿ = 10ln(0.5𝑖 π‘Ÿ) = 10ln(0.5𝑖) Applying Kirchhoff’s voltage law around the loop 𝐿 𝑑𝑖 𝑑𝑑 + 10 ln 0.5𝑖 βˆ’ 20 = 𝑣(𝑑) System Dynamics and Control 2.159 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization - Evaluate the equilibrium solution β€’ Set the small-signal source, 𝑣(𝑑), equal to zero β€’ Evaluate the steady-state current In the steady state 𝑣 𝐿 𝑑 = 𝐿𝑑𝑖/𝑑𝑑 and 𝑑𝑖/𝑑𝑑, given a constant battery source. Hence, the resistor voltage, π‘£π‘Ÿ, is 20𝑉 𝑖 π‘Ÿ = 2𝑒0.1𝑣 π‘Ÿ = 2𝑒0.1Γ—20 = 14.78𝐴 ⟹ 𝑖0 = 𝑖 π‘Ÿ = 14.78𝐴 𝑖0 is the equilibrium value of the network current ⟹ 𝑖 = 𝑖0 + 𝛿𝑖 𝐿 𝑑𝑖 𝑑𝑑 + 10 ln 0.5𝑖 βˆ’ 20 = 𝑣(𝑑) ⟹ 𝐿 𝑑(𝑖0 + 𝛿𝑖) 𝑑𝑑 + 10ln[0.5 𝑖0 + 𝛿𝑖 ] βˆ’ 20 = 𝑣(𝑑) System Dynamics and Control 2.160 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien 𝐿 𝑑(𝑖0+𝛿𝑖) 𝑑𝑑 + 10 ln[0.5 𝑖0 + 𝛿𝑖 ] βˆ’ 20 = 𝑣(𝑑) Β§11.Linearization 𝑓 𝑖 = 𝑓 𝑖0 + 𝑑𝑓 𝑑𝑖 𝑖=𝑖0 (𝑖 βˆ’ 𝑖0) 𝑓 𝑖 = ln(0.5𝑖) = ln[0.5 𝑖0 + 𝛿𝑖 ] 𝑓 𝑖0 = ln(0.5𝑖0) 𝑖 βˆ’ 𝑖0 = 𝛿𝑖 𝑑𝑓 𝑑𝑖 𝑖=𝑖0 = 𝑑 ln(0.5𝑖) 𝑑𝑖 𝑖=𝑖0 = 1 𝑖 𝑖=𝑖0 = 1 𝑖0 ⟹ ln[0.5 𝑖0 + 𝛿𝑖 ] = ln(0.5𝑖0) + 1 𝑖0 𝛿𝑖 The linearized equation 𝐿 𝑑𝛿𝑖 𝑑𝑑 + 10 ln(0.5𝑖0) + 1 𝑖0 𝛿𝑖 βˆ’ 20 = 𝑣(𝑑) System Dynamics and Control 2.161 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization The linearized equation with 𝐿 = 1𝐻, 𝑖0 = 14.78𝐴 𝑑𝛿𝑖 𝑑𝑑 + 0.677𝛿𝑖 = 𝑣(𝑑) ⟹ 𝛿𝑖 𝑠 = 𝑉(𝑠) 𝑠 + 0.677 The voltage across the inductor about the equilibrium point 𝑣 𝐿 𝑑 = 𝐿 𝑑(𝑖0 + 𝛿𝑖) 𝑑𝑑 = 𝐿 𝑑𝛿𝑖 𝑑𝑑 ⟹ 𝑉𝐿 𝑠 = 𝐿𝑠𝛿𝑖 𝑠 = 𝑠𝛿𝑖 𝑠 The voltage across the inductor about the equilibrium point 𝑉𝐿 𝑠 = 𝑠 𝑉(𝑠) 𝑠 + 0.677 The final transfer function 𝑉𝐿 𝑠 𝑉(𝑠) = 𝑠 𝑠 + 0.677 for small excursions about 𝑖 = 14.78𝐴 or, equivalently, about 𝑣 𝑑 = 0 System Dynamics and Control 2.162 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien
  • 28. 1/11/2016 28 Β§11.Linearization Skill-Assessment Ex.2.13 Problem Find the linearized transfer function, 𝐺 𝑠 = 𝑉(𝑠)/𝐼(𝑠), for the electrical network. The network contains a nonlinear resistor whose voltage-current relationship is defined by 𝑖 π‘Ÿ = 𝑒 𝑣 π‘Ÿ. The current source, 𝑖(𝑑), is a small- signal generator Solution The nodal equation 𝐢 𝑑𝑣 𝑑𝑑 + 𝑖 π‘Ÿ βˆ’ 2 = 𝑖 𝑑 But 𝐢 = 1, 𝑣 = 𝑣0 + 𝛿𝑣, 𝑖 π‘Ÿ = 𝑒 𝑣 π‘Ÿ = 𝑒 𝑣 = 𝑒 𝑣0+𝛿𝑣 𝑑(𝑣0 + 𝛿𝑣) 𝑑𝑑 + 𝑒 𝑣0+𝛿𝑣 βˆ’ 2 = 𝑖 𝑑 System Dynamics and Control 2.163 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien 𝑑(𝑣0+𝛿𝑣) 𝑑𝑑 + 𝑒 𝑣0+𝛿𝑣 βˆ’ 2 = 𝑖 𝑑 Β§11.Linearization Linearize 𝑒 𝑣 𝑓 𝑣 = 𝑓 𝑣0 + 𝑑𝑓 𝑑𝑣 𝑣=𝑣0 (𝑣 βˆ’ 𝑣0) 𝑓 𝑣 = 𝑒 𝑣 = 𝑒 𝑣0+𝛿𝑣 𝑓 𝑣0 = 𝑒 𝑣0 𝑣 βˆ’ 𝑣0 = 𝛿𝑣 𝑑𝑓 𝑑𝑣 𝑣=𝑣0 = 𝑑𝑒 𝑣 𝑑𝑣 𝑣=𝑣0 = 𝑒 𝑣 𝑣=𝑣0 = 𝑒 𝑣0 ⟹ 𝑒 𝑣0+𝛿𝑣 = 𝑒 𝑣0 + 𝑒 𝑣0 𝛿𝑣 The linearized equation 𝑑𝛿𝑣 𝑑𝑑 + 𝑒 𝑣0 + 𝑒 𝑣0 𝛿𝑣 βˆ’ 2 = 𝑖 𝑑 System Dynamics and Control 2.164 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§11.Linearization Setting 𝑖 𝑑 = 0 and letting the circuit reach steady state, the capacitor acts like an open circuit. Thus, 𝑣0 = π‘£π‘Ÿ with 𝑖 π‘Ÿ = 2. But, 𝑖 π‘Ÿ = 𝑒 𝑣 π‘Ÿ or π‘£π‘Ÿ = ln𝑖 π‘Ÿ. Hence, 𝑣0 = ln2 = 0.693 𝑑𝛿𝑣 𝑑𝑑 + 𝑒 𝑣0 + 𝑒 𝑣0 𝛿𝑣 βˆ’ 2 = 𝑖 𝑑 ⟹ 𝑑𝛿𝑣 𝑑𝑑 + 2𝛿𝑣 = 𝑖 𝑑 Taking the Laplace transform 𝑠 + 2 𝛿𝑣 𝑠 = 𝐼(𝑠) The transfer function 𝛿𝑣(𝑠) 𝐼(𝑠) = 𝑉(𝑠) 𝐼(𝑠) = 1 𝑠 + 2 about equilibrium System Dynamics and Control 2.165 Modeling in Frequency Domain HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien HCM City Univ. of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Β§12.Case Studies System Dynamics and Control 2.166 Modeling in Frequency Domain