Design of fuzzy PID controllers using modified triangular membership functions

Authors:
Yau-Tarng Juang;Yun-Tien Chang;Chih-Peng Huang
Affiliations:
Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 320, Taiwan, ROC;Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 320, Taiwan, ROC;Department of Information Technology, Ling Tung University, Taichung City 408, Taiwan, ROC
Venue:
Information Sciences: an International Journal
Year:
2008

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Abstract

A design method for fuzzy proportional-integral-derivative (PID) controllers is investigated in this study. Based on conventional triangular membership functions used in fuzzy inference systems, the modified triangular membership functions are proposed to improve a system's performance according to knowledge-based reasonings. The parameters of the considered controllers are tuned by means of genetic algorithms (GAs) using a fitness function associated with the system's performance indices. The merits of the proposed controllers are illustrated by considering a model of the induction motor control system and a higher-order numerical model.