NDLI: Robust PI controller design for nonlinear systems via fuzzy modeling approach

Content Provider	IEEE Xplore Digital Library
Author	Feng Zheng Qing-Guo Wang Tong Heng Lee Xiaogang Huang
Copyright Year	1996
Abstract	The design problem of proportional and proportional-plus-integral (PI) controllers for nonlinear systems is studied. First, the Takagi-Sugeno (T-S) fuzzy model with parameter uncertainties is used to approximate the nonlinear systems. Then a numerically tractable algorithm based on the technique of iterative linear matrix inequalities is developed to design a proportional (static output feedback) controller for the robust stabilization of the system in T-S fuzzy model. Next, we transform the problem of PI controller design to that of proportional controller design for an augmented system and thus bring the solution of the former problem into the configuration of the developed algorithm. Finally, the proposed method is applied to the design of robust stabilizing controllers for the excitation control of power systems. Simulation results show that the transient stability can be improved by using a fuzzy PI controller when large faults appear in the system, compared to the conventional PI controller designed by using linearization method around the steady state.
Sponsorship	IEEE Systems, Man, and Cybernetics Society
Starting Page	666
Ending Page	675
Page Count	10
File Size	248546
File Format	PDF
ISSN	10834427
Volume Number	31
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Nonlinear control systems Control systems Nonlinear systems Fuzzy control Fuzzy systems Proportional control Algorithm design and analysis Power system control Power system stability
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software

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