P1111410320

Robustness Analysis of Linear Time-Invariant Dynamic State Observers

S.O. Omekanda*, T. Perkins**, M.A. Zohdy***

*Department of Electrical and Computer Engineering, Oakland University, Rochester,

Michigan, U.S.A.

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http://www.icgst.com/paper.aspx?pid=P1111410320

In this paper, we investigate the effect of state and measurement variations on linear time-invariant state (LTI) observers’ performance robustness and error dynamics. These observers are widely used in control engineering, and, more recently, modern automotive powertrain applications. They have a proven and well documented degree of reliability and efficiency in the approximation of systems’ states. When well designed, they exhibit negligible steady state errors. In this study, we apply observer theory to an internal combustion engine (ICE) model. We also investigated state and sensor measurement disturbances that occur during common operation of the system. An analysis of the change in the observer error dynamics, and subsequent performance robustness is presented.

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http://www.icgst.com/paper.aspx?pid=P1111410320Robustness Analysis of Linear Time-Invariant Dynamic State Observers

Abstract

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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/

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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.


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Todd A. Perkins is a Ph.D. student in the Electrical and Computer Engineering department. He earned his B.S. in Electrical Engineering at Howard University. After spending nearly 20 years in the broadcast, automotive and telecommunications industry, he left to pursue a M.S. and Ph.D. at Oakland University so he could teach engineering. Under the ‘coaching’ of Dr. M.A. Zohdy, his working dissertation title is Adaptive Nonlinear Control of Clutch Engagement in Modern Automotive Transmissions. His current research includes piecewise linear (PWL) modeling, State Space modeling, nonlinear Adaptive Controls and Simulink modeling. Todd enjoys working as a Teaching Assistant and teaching Science, Technology, Engineering and Math (STEM) outreach camps to K-12 students.


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