Fuzzy Logic and Genetic Algorithm Methods in PID Tuning

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

doi:10.1007/1-84628-148-2_9

Fuzzy Logic and Genetic Algorithm Methods in PID Tuning

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

Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

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 language	English
Title of host publication	PID control : New identification and design methods
Editors	Michael A. JOHNSON, Mohammad H. MORADI
Publisher	Springer
Chapter	9
Pages	339-360
Number of pages	22
ISBN (Electronic)	9781846281488
ISBN (Print)	9781852337025
DOIs	https://doi.org/10.1007/1-84628-148-2_9
Publication status	Published - 2005
Externally published	Yes

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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10.1007/1-84628-148-2_9

1 Book (Author)

PID control : New identification and design methods
JOHNSON, M. A. (Editor), MORADI, M. H. (Editor), 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 Works › Book (Author) › peer-review
379 Citations (Scopus)

Cite this

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title = "Fuzzy Logic and Genetic Algorithm Methods in PID Tuning",

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{\textquoteright} recent research.",

author = "TANG, {K. S.} and CHEN, {G. R.} and MAN, {K. F.} and S. KWONG",

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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doi = "10.1007/1-84628-148-2_9",

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A2 - JOHNSON, Michael A.

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PB - Springer

ER -

Fuzzy Logic and Genetic Algorithm Methods in PID Tuning

Abstract

Bibliographical note

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Research output

PID control : New identification and design methods

Cite this