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The design of hybrid fuzzy controllers based on genetic algorithms and estimation techniques

Sung‐Kwun Oh (School of Electrical, Electronic and Information Engineering, Wonkwang University, Iksan, Chon‐Buk, South Korea)
Witold Pedrycz (Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada and Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 August 2002

440

Abstract

A comprehensive design methodology of hybrid fuzzy controllers (HFC) is proposed. The HFC comes in a form of a convex combination of a standard PID controller and a fuzzy controller. The design procedure dwells on the use of evolutionary computing (genetic algorithm) and an auto‐tuning algorithm. The tuning of the scaling factors of the HFC is an essential component of the entire optimization process. A numerical study is presented and a detailed comparative analysis is also included.

Keywords

Citation

Oh, S. and Pedrycz, W. (2002), "The design of hybrid fuzzy controllers based on genetic algorithms and estimation techniques", Kybernetes, Vol. 31 No. 6, pp. 909-917. https://doi.org/10.1108/03684920210432853

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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