A Nonlinear ILC Schemes for Nonlinear Dynamic SystemsTo Improve Convergence Speed
In this paper we study nonlinear Iterative Learning Control (ILC) schemes for nonlinear dynamic systems. The methods are proposed in this paper such as Newton-Type and Secant-Type, for improve the convergence speed in nonlinear ILC schemes systems. In nonlinear Iterative Learning Control methods convergence speed is faster than the linear ILC schemes systems. The system taken into consideration is the one phase control of the switched reluctance motor (SRM) and simulation result show that the convergence speed of the Newton-Type ILC schemes is the fastest and the Secant-Type is faster than the linear-type but slower than the Newton-Type. On the other hand nonlinear ILC schemes require more prior knowledge about the system.
Keywords: ILC, Newton-Type, Secant-Type, Convergence Speed.
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ABOUT THE AUTHORS
Hossein Babaee
Hossein Babaee received his B.S. degree in Electronic Engineering from Department of Electrical and Computer Engineering, ShahidBeheshti University, Tehran, Iran in 2009. He is currently master science student of Electrical Engineering Department, Babol (Noushirvani) University of Technology, Babol, Iran. His research interests include Intelligent Control, Optimal Control, and Fuzzy control
Alireza Khosravi
Faculty of Electrical and Computer Engineering, Noushirvani University of Technology,Babol, 47135-484, Iran
Hossein Babaee
Hossein Babaee received his B.S. degree in Electronic Engineering from Department of Electrical and Computer Engineering, ShahidBeheshti University, Tehran, Iran in 2009. He is currently master science student of Electrical Engineering Department, Babol (Noushirvani) University of Technology, Babol, Iran. His research interests include Intelligent Control, Optimal Control, and Fuzzy control
Alireza Khosravi
Faculty of Electrical and Computer Engineering, Noushirvani University of Technology,Babol, 47135-484, Iran
