A study on PDC of nonlinear systems by T-S fuzzy model with comparing pole placement method and linear quadratic regulator

Authors:
Tansel Yucelen
Affiliations:
Department of Electrical and Computer Engineering, Southern Illinois University, Carbondale, IL
Venue:
ACMOS'07 Proceedings of the 9th WSEAS international conference on Automatic control, modelling and simulation
Year:
2007

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Abstract

This paper discuss parallel distributed compensation (PDC) of nonlinear systems by Takagi-Sugeno (T-S) fuzzy model, and presents the design of T-S PDC controller in every detail. The purposed approach is designed both using pole placement method (PPM) and linear quadratic regulator (LQR) optimal control method, and also improved in a way to obtain a better system response by using additional membership functions (MF) for error with different desired pole locations for each MF for PPM and different design parameters for each MF for LQR. The applicability of this new method is also demonstrated on a detailed simulation.