A new approach for on-line optimisation of a fuzzy controller

Author

Haggege, Joseph ; Benrejeb, Mohamed ; Borne, Pierre

Author_Institution

LA.R.A, Ecole Nationale d´´Ingenieurs de Tunis, Tunisia

Volume

2

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

971

Abstract

In this paper, a new method for on-line optimisation of a fuzzy controller is presented. It is based on a Sugeno fuzzy controller which is on-line tuned to adjust its parameters, using a gradient method. The purpose of the proposed approach is to give an algorithmic way to determine the parameters of such a controller, without using human knowledge, as it is usual in the design of fuzzy controllers, while preserving a human understanding of the fuzzy controller´s action. An illustrative example is given by the application of the developed method to the control of a second order linear system

Keywords

control system synthesis; controllers; fuzzy control; gradient methods; optimisation; Sugeno fuzzy controller; controller parameters; fuzzy controller; fuzzy controller action; fuzzy controller design; fuzzy controller parameters; gradient method; human knowledge; on-line optimisation; on-line tuning; second order linear system control; Algorithm design and analysis; Centralized control; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; Inference algorithms; Linear systems; Optimization methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on

Print_ISBN

0-7803-7057-0

Type

conf

DOI

10.1109/ICECS.2001.957636

Filename

957636