An Efficient Novel Reduced Order Observer for State Estimation of an Internal Combustion Engine Model

1. An Efficient Novel Reduced Order Observer for State
Estimation of an Internal Combustion Engine Model
S.O. Omekanda*, M.A. Zohdy**
*Department of Electrical and Computer Engineering, Oakland University, Rochester, Michigan, U.S.A.
1www.icgst.com
http://www.icgst.com/paper.aspx?pid=P1111348307

2. In this paper, a reduced order observer is designed and implemented for state
estimation of an internal combustion engine (ICE) model. In most engineering
systems, certain states are directly measurable. Therefore, it is not cost effective
and increases computational complexity to use a full order observer which will
demand faster, more powerful processors. This is particularly the case in
powertrain systems such as internal combustion engine. Here, we validate the use
of a reduced order observer, through comparison, simulation and analysis as a
suitable solution to this problem.
2www.icgst.com
http://www.icgst.com/paper.aspx?pid=P1111348307
An Efficient Novel Reduced Order Observer for State Estimation of an Internal
Combustion Engine Model
Abstract

3. 3www.icgst.com
Mohamed A. Zohdy received the M. Sc. and Ph. D. degrees from the University Of Waterloo,
Ontario, Canada in electrical engineering. He worked in several industries; dowty, iron and steel,
and spar. He is currently a Professor in the ECE department at Oakland University, Rochester,
MI. His research interests are in the areas of advanced control and estimation, neural, fuzzy,
chaos control, smart simulation and hybrid systems.
Oakland University
http://wwwp.oakland.edu/

4. 4www.icgst.com
I was born in Rabat, Morocco, on September 15, 1984. I received my Bachelor in Science (B.S.)
degree in electrical engineering from Pennsylvania State University, State College, in 2009 and
the Masters in Science (M.S.) degree in electrical and computer engineering from Oakland
University, Rochester, MI, in 2011. I am currently getting my Ph.D in controls engineering from
Oakland University. I have been working as a teaching and research assistant for the electrical
and computer engineering department at Oakland University during this time. I have taught and
helped students in the areas of controls and estimation theory as well as using matlab/simulink
for simulation. My research areas primarily include design, implementation and simulation of
nonlinear observers for state estimation and control, multivariable control, subsystem
interconnection with application to internal combustion engines and electric machine in
automotive applications.
Oakland University
http://wwwp.oakland.edu/

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