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International
OPEN ACCESS Journal
Of Modern Engineering Research (IJMER)
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 10|
Simulation of Direct Torque Control of Induction motor using
Space Vector Modulation Methodology
Arpit S. Bhugul1
, Dr. Archana G. Thosar2
1, 2
(ME Student, Associate Professor & Head, Electrical Engineering Department, Government College of
Engineering, Aurangabad, India)
I. LIST OF SYMBOLS
IM Induction Motor
DTC Direct Torque Control
SVM Space Vector Modulation
Hz Hertz
kW kilo-Watt
VSI Voltage Source Inverter
P Number of pair poles
Te Electromagnetic Torque
R Resistance
L Inductance
J Inertia
T Torque
Ω Ohm
ωs Stator Angular Speed
ωr Rotor Angular Speed
Ψ Flux Linkage
α Angle between stator flux & Rotor flux
H Hysteresis Band
IGBT Insulated Gate Bipolar Transistor
II. INTRODUCTION
Direct Torque control (DTC) for induction motor was introduced about thirty years ago by Japanese
and German researchers Takahashi and Noguchi is considered as an alternative to the field oriented control
(FOC) or vector control techniques. These two control strategies are different on the operation principle but
their objectives are the same.
Direct torque control is receiving wide spread attention in the recent literature [3], [4]. It minimizes
the use of machine parameters [5], [6]. Direct Torque Control (DTC) is one of the excellent control strategies
of torque control/ speed control in induction machine. This uses the hysteresis band to control the flux and
torque of the machine directly. When the stator flux falls outside the hysteresis band, the inverter switching
stator changes so that the flux takes an optimal path toward the desired value [5], [6]. The name direct torque
control is derived from the fact that on the basis of the errors between the reference and the estimated values of
torque and flux it directly controls the inverter states in order to reduce the torque and flux errors within the
prefixed band limits [7], [8].
Abstract: This paper presents simulation of Direct Torque Control (DTC) of Induction Motor using Space
Vector Modulation (SVM). Direct Torque Control is a control strategy used for high performance torque
control of Induction Motor. This SVM based DTC technique reduces torque ripple and improves torque
response. The performance is explained using simulation in MATLAB environment. Result of the
simulation done in the paper shows improvement in flux and torque. These results verifies the merits of
DTC- SVM over conventional Direct Torque Control technique.
Keywords: About DTC, SVM, Stator flux, Flux error, Torque error.
Simulation of Direct Torque Control of Induction motor using Space Vector Modulation
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 11|
This paper describes simple & effective MATLAB simulation of direct torque control of Induction
Motor using Space Vector Modulation. The induction motor model, principal of space vector modulation
technique, advantages of DTC SVM are explained. The results of this simulation is explained at the end
III. INDUCTION MOTOR MODEL
The following equations written in terms of space voltage vector in a stationary reference frame
describe the dynamic behavior of an induction motor
3.1 Voltage Equation
…………………………… (1)
…………….. (2)
Where
= Space vector of stator voltage,
= Stator Flux Vector
= Rotor Flux Vector
= Stator Current Vector
= Rotor Current Vectors
and are respectively the stator & rotor resistance and inductance , is mutual inductance, is
motor angular speed in electrical rad/sec.
3.2 Torque Equations
The torque equation for induction machine can be represented by in vector form as,
……………………………... (3)
In this equation, is to be replaced by rotor flux . In this complex form, and can be expressed as
functions of currents as,
…………………………...(4)
………………. ………….(5)
Eliminating from equation (5) we get,
………………………(6)
Where,
The corresponding equation of is
…………………..…….(7)
Substituting equation (7) in (3) and simplifying yields
……………………...…..(8)
That is magnitude of torque is,
…………………(9)
IV. DIRECT TORQUE CONTROL
DTC provides very fast response with simple control structure and hence this technique is gaining
popularity in industries. In DTC, stator flux and torque are directly controlled by selecting the appropriate
inverter state. The stator currents and voltages are indirectly controlled hence no current feedback loops are
required. Stator fluxes and stator currents enable high dynamic performance even at standstill. The generic
DTC scheme for a Voltage source PWM inverter-fed IM drive is shown in Fig.1. The stator flux controller
Simulation of Direct Torque Control of Induction motor using Space Vector Modulation
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 12|
imposes the time duration of the active voltage vectors, which move the stator flux along the reference
trajectory, and the torque controller determinates the duration of the zero voltage vectors which keeps the
motor torque in the predefined hysteresis tolerance band. At every sampling time the voltage vector selection
block chooses the inverter switching state (SA, SB, SC) which reduces the instantaneous flux and torque errors
Fig. 1 Basic DTC Scheme
V. DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING SPACE
VECTOR MODULATION
Direct Torque control of Induction Motor using Space Vector Modulation is shown in fig2. As shown
in this scheme the stator voltage & current parameters are used for calculation or estimation of actual flux &
torque. Estimated flux & torque are the compared with reference flux & torque values. Error obtained after
comparison is given to the flux & torque controller. The limits of these hysteresis controllers are explained in
equations below. Suitable vector is selected from the lookup table as per the values of flux error, torque error &
flux sector number. The vector selected is given to the inverter and the converter output is applied to the motor.
Fig. 2 DTC SVM Scheme
The basic idea of the switching table DTC SVM concept is shown in Fig. 2. The command stator flux
Ψs
*
, and torque T*
values are compared with the actual Ψs and Te values in hysteresis flux and torque
controllers, respectively. The flux controller is a two-level comparator while the torque controller is a three
level comparator. The digitized output signals of the flux controller are defined as in equation (7) and (8)
………….(7)
………….(8)
Simulation of Direct Torque Control of Induction motor using Space Vector Modulation
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 13|
And those of the torque controller as in equations λλ
…………….(9)
………………..(10)
……………….(11)
where 2HΨ is the flux tolerance band and 2Hm is the torque tolerance band. The digitized variables Ψ, Te and
the stator flux section (sector) N, obtained from the angular position
Fig. 3. Trajectory of stator flux vector in DTC Control
Fig.4. Inverter Voltage vectors and corresponding stator flux variation in time
The angular position flux vector can be calculated using following angle ranges as
- 30< α (1) < 30
30< α (2) < 90
90< α (3) < 150
150< α (4) < 210
210< α (5) < 270
270< α (6) < 330
On the basis of torque and flux hysteresis status and the stator flux switching sector, which is denoted
by α, DTC algorithm selects the inverter voltage vector from the table.
The outputs of the switching table are the settings for the switching devices of the inverter. Fig.2 shows the
relation of inverter voltage vector and stator flux switching sectors.
Six active switching vectors V1, V2, V3, V4, V5, V6 and two zero switching vectors V0 and V7 determine the
switching sequence of the inverter. Depending on inverter switching pulses, PWM is achieved and hence stator
voltages and currents are controlled [3]. Therefore to obtain a good dynamic performance, an appropriate
inverter voltage vectors Vi (i=1 to 6) has to be selected.
Simulation of Direct Torque Control of Induction motor using Space Vector Modulation
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 14|
Ψ
error
T error
α (1) α (2) α (3) α (4) α (5) α (6)
Sec 1 Sec 2 Sec 3 Sec 4 Sec 5 Sec 6
1
1 V2 V3 V4 V5 V6 V1
0 V7 V0 V7 V0 V7 V0
-1 V6 V1 V2 V3 V4 V5
0
1 V3 V4 V5 V6 V1 V2
0 V0 V7 V0 V7 V0 V7
-1 V5 V6 V1 V2 V3 V4
VI. SIMULATION OF DIRECT TORQUE CONTROL OF INDUCTION MOTOR
6.1 FLUX & TORQUE ESTIMATOR
This block is used to calculate values of flux and torque.
Fig. 5. Flux & Torque estimator
6.2 SPEED CONTROLLER
In this block reference speed & actual speed are calculated. By calculating actual & reference speed,
error is given to the PI controller. The PI controller is tuned by setting proper values for proportional and
integral constant and these values are found to be KP=1 and Ki=80. Output of this controller acts as a reference
torque.
6.3 FLUX AND TORQUE HYSTERESIS CONTROLLER
After comparison of reference flux & torque with actual flux & torque, errors are calculated in this
block. In flux hysteresis controller, two level hysteresis controller is used. The switch ON & OFF limits are
0.02 & -0.02. For calculating torque error, three level hysteresis controller is used.. Outputs of this block are
flux & torque error. These errors are given to switching table.
Fig. 6 Flux & Torque Hysteresis Controller
Simulation of Direct Torque Control of Induction motor using Space Vector Modulation
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 15|
6.4 SWITCHING TABLE
After receiving the error signals from hysteresis controller, suitable voltage vectors from V0 to V7 are
selected from the look up table shown in section 4. The output of this is given to IGBT inverter. But as IGBT
inverter required six pulses such that in each arm both IGBT’s should get input inverted from other hence we
have inverted the voltage vectors and all six pulses are given to inverter. The delay of 10µs is added between
these pulses.
VII. SIMULATION & RESULT
The following model is developed in MATLAB using above mentioned blocks. This model is run for
typical conditions of reference speed & applied torque. The flux produced along with reference flux is shown.
Switching states of all the IGBT during running are shown. The parameters 3 phase induction motor is shown
in following
Fig.7. Simulation of DTC -SVM
The same induction motor is also run without any type of torque control strategy. The stator flux pattern is
observed and studied. The stator flux with DTC is shown in fig. 8 (a). Another stator flux without any type of
control strategy is shown in fig. 8 (b).
(a) (b)
Fig. 8 (a) Stator Flux with DTC Drive (b) Stator Flux without DTC Drive
Simulation of Direct Torque Control of Induction motor using Space Vector Modulation
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 16|
Fig. 9. Switching States of IGBT
The DC Link Voltage is shown below. It is observed that DC link voltage is increase to high value before
settling at 580V. The variation is shown in fig.10.
Fig. 10 DC Link Voltage
Fig.11 Actual & Reference Stator Flux
Simulation of Direct Torque Control of Induction motor using Space Vector Modulation
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 17|
Fig. 12 Stator Currents
VIII. CONCLUSION
The DTC scheme is analyzed using MATLAB Simulink environment. It is observed that this open
loop torque control of Induction motor develops uniform torque with reduction in torque ripples &
improvement in torque response. This type of control requires estimation of torque and flux form the stator
parameters which is explained in this paper. Implementation of DTC has shown uniform stator flux. The
simulation of Induction motor without DTC with comparison of non-uniform flux produced in absence of
DTC. Thus the results verifies the merits of the DTC SVM system.
IX. Future Work
Implementation of DTC scheme using high power switching devices like IGBT & IGCT & compare
the performance. Implementation of DTC with modified control strategy of 12 voltage sectors can also be done.
REFERENCES
[1] C. Thanga Raj, Energy Efficient Control of Three-Phase Induction Motor - A Review, International Journal of
Computer and Electrical Engineering, Vol. 1, No. 1, April 2009 1793-8198, page no 61-70.
[2] Hamid A. Toliyat, Emil Levi, Mona Raina, A Review of RFO Induction Motor Parameter Estimation Techniques,
IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 18, NO. 2, JUNE 2003, page 271-283.
[3] U. V Patil, H. M. Suryawanshi, and M. M. Renge, Performance Comparison of DTC and FOC Induction Motor
Drive in Five Level Diode Clamped Inverter, IEEE-International Conference On Advances In Engineering, Science
And Management (ICAESM -2012), March 30, 31, 2012 page no.227-230.
[4] I. Takahashi and T. Noguchi, A new quick-response and high efficiency control strategy of an induction machine,
IEEE Trans. Ind. Application 22, 820–827 (1986).
[5] S. Allirani1 and V. Jagannathan, High Performance Direct Torque Control of Induction Motor Drives Using Space
Vector Modulation, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 6, November 2010
pp.178-186
[6] P. Pillay, IEEE, Mathematical models for Induction Machines, 0-7803-3008-0195 0 1995 IEEE
[7] B. K. Bose, Modern Power Electronics and AC Drives. Englewood Cliffs, NJ: Prentice-Hall, 2002
[8] Mustafa A. Al-Refai, Matlab/Simulink Simulation Model for Direct Torque Control Based on Space Vector
Modulation (DTC-SVM) of Induction Motor Drive, World Academy of Science, Engineering and Technology, 76
2013 pp658-662.
[9] D. CASADEI, G. SERRA, A. TANI & L. ZARRI, Assessment of direct torque control of induction motor drives,
Bulletin of the Polish Academy of Sciences, vol.54., no.3, 2006, pp.237-254
[10] T. G. Habetler, F. Profumo, M. Pastorelli, L. Tolbert, Direct Torque Control of Induction Machines Using Space
Vector Modulation, IEEE Transactions on Industry Applications, Vol. 28, no. 5, pp. 1045–1053,
September/October 1992
[11] Joachim Holtz, Sensor less control of induction motor drives, Proceeding of IEEE, vol.90, no8, Aug.2002 pp. 1359-
1394.
[12] S. Mythili, Dr. K. Thyagarajah, Direct Torque Control (DTC) of Multi-phase Induction Motor using TMS320F2407
Digital Signal Processor, IEEE PEDS, 2005, 0-7803-9296-5/05, pp1024 -102.

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Simulation of Direct Torque Control of Induction motor using Space Vector Modulation Methodology

  • 1. International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 10| Simulation of Direct Torque Control of Induction motor using Space Vector Modulation Methodology Arpit S. Bhugul1 , Dr. Archana G. Thosar2 1, 2 (ME Student, Associate Professor & Head, Electrical Engineering Department, Government College of Engineering, Aurangabad, India) I. LIST OF SYMBOLS IM Induction Motor DTC Direct Torque Control SVM Space Vector Modulation Hz Hertz kW kilo-Watt VSI Voltage Source Inverter P Number of pair poles Te Electromagnetic Torque R Resistance L Inductance J Inertia T Torque Ω Ohm ωs Stator Angular Speed ωr Rotor Angular Speed Ψ Flux Linkage α Angle between stator flux & Rotor flux H Hysteresis Band IGBT Insulated Gate Bipolar Transistor II. INTRODUCTION Direct Torque control (DTC) for induction motor was introduced about thirty years ago by Japanese and German researchers Takahashi and Noguchi is considered as an alternative to the field oriented control (FOC) or vector control techniques. These two control strategies are different on the operation principle but their objectives are the same. Direct torque control is receiving wide spread attention in the recent literature [3], [4]. It minimizes the use of machine parameters [5], [6]. Direct Torque Control (DTC) is one of the excellent control strategies of torque control/ speed control in induction machine. This uses the hysteresis band to control the flux and torque of the machine directly. When the stator flux falls outside the hysteresis band, the inverter switching stator changes so that the flux takes an optimal path toward the desired value [5], [6]. The name direct torque control is derived from the fact that on the basis of the errors between the reference and the estimated values of torque and flux it directly controls the inverter states in order to reduce the torque and flux errors within the prefixed band limits [7], [8]. Abstract: This paper presents simulation of Direct Torque Control (DTC) of Induction Motor using Space Vector Modulation (SVM). Direct Torque Control is a control strategy used for high performance torque control of Induction Motor. This SVM based DTC technique reduces torque ripple and improves torque response. The performance is explained using simulation in MATLAB environment. Result of the simulation done in the paper shows improvement in flux and torque. These results verifies the merits of DTC- SVM over conventional Direct Torque Control technique. Keywords: About DTC, SVM, Stator flux, Flux error, Torque error.
  • 2. Simulation of Direct Torque Control of Induction motor using Space Vector Modulation | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 11| This paper describes simple & effective MATLAB simulation of direct torque control of Induction Motor using Space Vector Modulation. The induction motor model, principal of space vector modulation technique, advantages of DTC SVM are explained. The results of this simulation is explained at the end III. INDUCTION MOTOR MODEL The following equations written in terms of space voltage vector in a stationary reference frame describe the dynamic behavior of an induction motor 3.1 Voltage Equation …………………………… (1) …………….. (2) Where = Space vector of stator voltage, = Stator Flux Vector = Rotor Flux Vector = Stator Current Vector = Rotor Current Vectors and are respectively the stator & rotor resistance and inductance , is mutual inductance, is motor angular speed in electrical rad/sec. 3.2 Torque Equations The torque equation for induction machine can be represented by in vector form as, ……………………………... (3) In this equation, is to be replaced by rotor flux . In this complex form, and can be expressed as functions of currents as, …………………………...(4) ………………. ………….(5) Eliminating from equation (5) we get, ………………………(6) Where, The corresponding equation of is …………………..…….(7) Substituting equation (7) in (3) and simplifying yields ……………………...…..(8) That is magnitude of torque is, …………………(9) IV. DIRECT TORQUE CONTROL DTC provides very fast response with simple control structure and hence this technique is gaining popularity in industries. In DTC, stator flux and torque are directly controlled by selecting the appropriate inverter state. The stator currents and voltages are indirectly controlled hence no current feedback loops are required. Stator fluxes and stator currents enable high dynamic performance even at standstill. The generic DTC scheme for a Voltage source PWM inverter-fed IM drive is shown in Fig.1. The stator flux controller
  • 3. Simulation of Direct Torque Control of Induction motor using Space Vector Modulation | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 12| imposes the time duration of the active voltage vectors, which move the stator flux along the reference trajectory, and the torque controller determinates the duration of the zero voltage vectors which keeps the motor torque in the predefined hysteresis tolerance band. At every sampling time the voltage vector selection block chooses the inverter switching state (SA, SB, SC) which reduces the instantaneous flux and torque errors Fig. 1 Basic DTC Scheme V. DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING SPACE VECTOR MODULATION Direct Torque control of Induction Motor using Space Vector Modulation is shown in fig2. As shown in this scheme the stator voltage & current parameters are used for calculation or estimation of actual flux & torque. Estimated flux & torque are the compared with reference flux & torque values. Error obtained after comparison is given to the flux & torque controller. The limits of these hysteresis controllers are explained in equations below. Suitable vector is selected from the lookup table as per the values of flux error, torque error & flux sector number. The vector selected is given to the inverter and the converter output is applied to the motor. Fig. 2 DTC SVM Scheme The basic idea of the switching table DTC SVM concept is shown in Fig. 2. The command stator flux Ψs * , and torque T* values are compared with the actual Ψs and Te values in hysteresis flux and torque controllers, respectively. The flux controller is a two-level comparator while the torque controller is a three level comparator. The digitized output signals of the flux controller are defined as in equation (7) and (8) ………….(7) ………….(8)
  • 4. Simulation of Direct Torque Control of Induction motor using Space Vector Modulation | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 13| And those of the torque controller as in equations λλ …………….(9) ………………..(10) ……………….(11) where 2HΨ is the flux tolerance band and 2Hm is the torque tolerance band. The digitized variables Ψ, Te and the stator flux section (sector) N, obtained from the angular position Fig. 3. Trajectory of stator flux vector in DTC Control Fig.4. Inverter Voltage vectors and corresponding stator flux variation in time The angular position flux vector can be calculated using following angle ranges as - 30< α (1) < 30 30< α (2) < 90 90< α (3) < 150 150< α (4) < 210 210< α (5) < 270 270< α (6) < 330 On the basis of torque and flux hysteresis status and the stator flux switching sector, which is denoted by α, DTC algorithm selects the inverter voltage vector from the table. The outputs of the switching table are the settings for the switching devices of the inverter. Fig.2 shows the relation of inverter voltage vector and stator flux switching sectors. Six active switching vectors V1, V2, V3, V4, V5, V6 and two zero switching vectors V0 and V7 determine the switching sequence of the inverter. Depending on inverter switching pulses, PWM is achieved and hence stator voltages and currents are controlled [3]. Therefore to obtain a good dynamic performance, an appropriate inverter voltage vectors Vi (i=1 to 6) has to be selected.
  • 5. Simulation of Direct Torque Control of Induction motor using Space Vector Modulation | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 14| Ψ error T error α (1) α (2) α (3) α (4) α (5) α (6) Sec 1 Sec 2 Sec 3 Sec 4 Sec 5 Sec 6 1 1 V2 V3 V4 V5 V6 V1 0 V7 V0 V7 V0 V7 V0 -1 V6 V1 V2 V3 V4 V5 0 1 V3 V4 V5 V6 V1 V2 0 V0 V7 V0 V7 V0 V7 -1 V5 V6 V1 V2 V3 V4 VI. SIMULATION OF DIRECT TORQUE CONTROL OF INDUCTION MOTOR 6.1 FLUX & TORQUE ESTIMATOR This block is used to calculate values of flux and torque. Fig. 5. Flux & Torque estimator 6.2 SPEED CONTROLLER In this block reference speed & actual speed are calculated. By calculating actual & reference speed, error is given to the PI controller. The PI controller is tuned by setting proper values for proportional and integral constant and these values are found to be KP=1 and Ki=80. Output of this controller acts as a reference torque. 6.3 FLUX AND TORQUE HYSTERESIS CONTROLLER After comparison of reference flux & torque with actual flux & torque, errors are calculated in this block. In flux hysteresis controller, two level hysteresis controller is used. The switch ON & OFF limits are 0.02 & -0.02. For calculating torque error, three level hysteresis controller is used.. Outputs of this block are flux & torque error. These errors are given to switching table. Fig. 6 Flux & Torque Hysteresis Controller
  • 6. Simulation of Direct Torque Control of Induction motor using Space Vector Modulation | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 15| 6.4 SWITCHING TABLE After receiving the error signals from hysteresis controller, suitable voltage vectors from V0 to V7 are selected from the look up table shown in section 4. The output of this is given to IGBT inverter. But as IGBT inverter required six pulses such that in each arm both IGBT’s should get input inverted from other hence we have inverted the voltage vectors and all six pulses are given to inverter. The delay of 10µs is added between these pulses. VII. SIMULATION & RESULT The following model is developed in MATLAB using above mentioned blocks. This model is run for typical conditions of reference speed & applied torque. The flux produced along with reference flux is shown. Switching states of all the IGBT during running are shown. The parameters 3 phase induction motor is shown in following Fig.7. Simulation of DTC -SVM The same induction motor is also run without any type of torque control strategy. The stator flux pattern is observed and studied. The stator flux with DTC is shown in fig. 8 (a). Another stator flux without any type of control strategy is shown in fig. 8 (b). (a) (b) Fig. 8 (a) Stator Flux with DTC Drive (b) Stator Flux without DTC Drive
  • 7. Simulation of Direct Torque Control of Induction motor using Space Vector Modulation | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 16| Fig. 9. Switching States of IGBT The DC Link Voltage is shown below. It is observed that DC link voltage is increase to high value before settling at 580V. The variation is shown in fig.10. Fig. 10 DC Link Voltage Fig.11 Actual & Reference Stator Flux
  • 8. Simulation of Direct Torque Control of Induction motor using Space Vector Modulation | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 5| May. 2014 | 17| Fig. 12 Stator Currents VIII. CONCLUSION The DTC scheme is analyzed using MATLAB Simulink environment. It is observed that this open loop torque control of Induction motor develops uniform torque with reduction in torque ripples & improvement in torque response. This type of control requires estimation of torque and flux form the stator parameters which is explained in this paper. Implementation of DTC has shown uniform stator flux. The simulation of Induction motor without DTC with comparison of non-uniform flux produced in absence of DTC. Thus the results verifies the merits of the DTC SVM system. IX. Future Work Implementation of DTC scheme using high power switching devices like IGBT & IGCT & compare the performance. Implementation of DTC with modified control strategy of 12 voltage sectors can also be done. REFERENCES [1] C. Thanga Raj, Energy Efficient Control of Three-Phase Induction Motor - A Review, International Journal of Computer and Electrical Engineering, Vol. 1, No. 1, April 2009 1793-8198, page no 61-70. [2] Hamid A. Toliyat, Emil Levi, Mona Raina, A Review of RFO Induction Motor Parameter Estimation Techniques, IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 18, NO. 2, JUNE 2003, page 271-283. [3] U. V Patil, H. M. Suryawanshi, and M. M. Renge, Performance Comparison of DTC and FOC Induction Motor Drive in Five Level Diode Clamped Inverter, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012), March 30, 31, 2012 page no.227-230. [4] I. Takahashi and T. Noguchi, A new quick-response and high efficiency control strategy of an induction machine, IEEE Trans. Ind. Application 22, 820–827 (1986). [5] S. Allirani1 and V. Jagannathan, High Performance Direct Torque Control of Induction Motor Drives Using Space Vector Modulation, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 6, November 2010 pp.178-186 [6] P. Pillay, IEEE, Mathematical models for Induction Machines, 0-7803-3008-0195 0 1995 IEEE [7] B. K. Bose, Modern Power Electronics and AC Drives. Englewood Cliffs, NJ: Prentice-Hall, 2002 [8] Mustafa A. Al-Refai, Matlab/Simulink Simulation Model for Direct Torque Control Based on Space Vector Modulation (DTC-SVM) of Induction Motor Drive, World Academy of Science, Engineering and Technology, 76 2013 pp658-662. [9] D. CASADEI, G. SERRA, A. TANI & L. ZARRI, Assessment of direct torque control of induction motor drives, Bulletin of the Polish Academy of Sciences, vol.54., no.3, 2006, pp.237-254 [10] T. G. Habetler, F. Profumo, M. Pastorelli, L. Tolbert, Direct Torque Control of Induction Machines Using Space Vector Modulation, IEEE Transactions on Industry Applications, Vol. 28, no. 5, pp. 1045–1053, September/October 1992 [11] Joachim Holtz, Sensor less control of induction motor drives, Proceeding of IEEE, vol.90, no8, Aug.2002 pp. 1359- 1394. [12] S. Mythili, Dr. K. Thyagarajah, Direct Torque Control (DTC) of Multi-phase Induction Motor using TMS320F2407 Digital Signal Processor, IEEE PEDS, 2005, 0-7803-9296-5/05, pp1024 -102.