Design of fuzzy PID controllers using modified triangular membership functions. (English) Zbl 1139.93327

Juang, Yau-Tarng; Chang, Yun-Tien; Huang, Chih-Peng

Inf. Sci. 178, No. 5, 1325-1333 (2008).

Summary: 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 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.

MSC:

93C42	Fuzzy control/observation systems
90C59	Approximation methods and heuristics in mathematical programming
93C95	Application models in control theory

Keywords:

membership functions; fuzzy logic controller; proportional-integral-derivative controller; genetic algorithm

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