Tuning and analysis of a fuzzy PI controller based on gain and phase margins

Author

Xu, Jian-Xin ; Pok, Yang-Ming ; Liu, Chen ; Hang, Chang-Chieh

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore

Volume

28

Issue

5

fYear

1998

fDate

9/1/1998 12:00:00 AM

Firstpage

685

Lastpage

691

Abstract

The nonlinearity of the simplest fuzzy PI controller with different inference methods has been discussed and it shows that Mamdani´s minimum inference method is the most general inference method for the fuzzy PI controller. In addition, a novel tuning method based on gain and phase margins has been proposed to determine the weighting coefficients of the fuzzy PI controllers. With the proposed tuning formula, the nature of the fuzzy PI controller has been analyzed and it shows the desired characteristics in terms of gain and phase margins when controlling linear plants. Numerical simulations are presented to show the validity of the proposed tuning method

Keywords

control nonlinearities; control system analysis; fuzzy control; fuzzy logic; inference mechanisms; tuning; two-term control; Mamdani´s minimum inference method; fuzzy PI controller; gain margins; linear plants; nonlinearity; phase margins; tuning method; weighting coefficients; Control nonlinearities; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear control systems; Numerical simulation; Performance analysis; Pi control; Three-term control;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on

Publisher

ieee

ISSN

1083-4427

Type

jour

DOI

10.1109/3468.709617

Filename

709617