Design of fuzzy PID controllers using modified triangular membership functions

被引：69

作者：

Juang, Yau-Tarng ^{[2
]}

Chang, Yun-Tien ^{[2
]}

Huang, Chih-Peng ^{[1
]}

机构：

[1] Ling Tung Univ, Dept Informat Technol, Taichung 408, Taiwan

[2] Natl Cent Univ, Dept Elect Engn, Jhongli 320, Taoyuan County, Taiwan

来源：

INFORMATION SCIENCES | 2008年 / 178卷 / 05期

关键词：

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

D O I：

10.1016/j.ins.2007.10.020

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2007 Elsevier Inc. All rights reserved.

引用

页码：1325 / 1333

页数：9

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