Design of fuzzy PID controllers using modified triangular membership functions

Yau Tarng Juang, Yun Tien Chang, Chih Peng Huang

Research output: Contribution to journalArticlepeer-review

79 Scopus citations

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.

Original languageEnglish
Pages (from-to)1325-1333
Number of pages9
JournalInformation Sciences
Volume178
Issue number5
DOIs
StatePublished - 1 Mar 2008

Keywords

  • Fuzzy logic controller
  • Genetic algorithm
  • Membership functions
  • Proportional-integral-derivative controller

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