Fuzzy Logic and Genetic Algorithm Methods in PID Tuning

K. S. TANG, G. R. CHEN, K. F. MAN, S. KWONG

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Abstract

The potential of fuzzy logic in solving controller tuningproblems was realised in the mid-1960s. However, its application to tuning theclassical PID controller emerged much later in the 1980s. Since that time, theauthors of this chapter have spent some years with world-leading expertsdeveloping extensions and new ways of approaching this field of Fuzzy PIDcontroller design. A special emphasis has been to develop techniques that usethe power of genetic algorithms.This chapter demonstrates just how effectivethe genetic algorithm approach is and reports some of the authors’ recent research.
Original languageEnglish
Title of host publicationPID control : New identification and design methods
EditorsMichael A. JOHNSON, Mohammad H. MORADI
PublisherSpringer
Chapter9
Pages339-360
Number of pages22
ISBN (Electronic)9781846281488
ISBN (Print)9781852337025
DOIs
Publication statusPublished - 2005
Externally publishedYes

Bibliographical note

The authors are very grateful for the support of Hong Kong Research Grants Council under Grants 9040604. It has been the great pleasure of authors, K.S. Tang, G.R. Chen, K.F.Man and S.Kwong to work with Hao Ying, Heidar A. Malki, Edgar N. Sanchez, Pitikhate Sooraksa and P.C.K. Luk on fuzzy PID controllers and genetic algorithms over recent years.

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  • PID control : New identification and design methods

    JOHNSON, M. A. (ed.), MORADI, M. H. (ed.), CROWE, J., TAN, K. K., LEE, T. H., FERDOUS, R., KATEBI, M. R., HUANG, H. P., JENG, J. C., TANG, K. S., CHEN, G. R., MAN, K. F., KWONG, S., SÁNCHEZ, A., WANG, Q. G., ZHANG, Y., ZHANG, Y., MARTIN, P., GRIMBLE, M. J. & GREENWOOD, D. R., Jun 2005, Springer London. 543 p.

    Research output: Scholarly Books | Reports | Literary WorksBook (Author)peer-review

    361 Citations (Scopus)

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