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

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review

Abstract

The potential of fuzzy logic in solving controller tuning problems was realised in the mid-1960s. However, its application to tuning the classical PID controller emerged much later in the 1980s. Since that time, the authors of this chapter have spent some years with world-leading experts developing extensions and new ways of approaching this field of Fuzzy PID controller design. A special emphasis has been to develop techniques that use the power of genetic algorithms.This chapter demonstrates just how effective the genetic algorithm approach is and reports some of the authors’ recent research.

Original language	English
Title of host publication	PID Control
Subtitle of host publication	New Identification and Design Methods
Editors	Michael A. Johnson, Mohammad H. Moradi
Place of Publication	London
Publisher	Springer
Chapter	9
Pages	339-360
ISBN (Electronic)	978-1-84628-148-8
ISBN (Print)	1-85233-702-8, 978-1-85233-702-5, 978-1-84996-897-3
DOIs	https://doi.org/10.1007/1-84628-148-2_9
Publication status	Published - 2005

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Fuzzy Logic and Genetic Algorithm Methods in PID Tuning. / Tang, K.S.; Chen, G.R.; Man, K.F. et al.
PID Control: New Identification and Design Methods. ed. / Michael A. Johnson; Mohammad H. Moradi. London: Springer , 2005. p. 339-360.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review

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AU - Kwong, S.

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N2 - The potential of fuzzy logic in solving controller tuning problems was realised in the mid-1960s. However, its application to tuning the classical PID controller emerged much later in the 1980s. Since that time, the authors of this chapter have spent some years with world-leading experts developing extensions and new ways of approaching this field of Fuzzy PID controller design. A special emphasis has been to develop techniques that use the power of genetic algorithms.This chapter demonstrates just how effective the genetic algorithm approach is and reports some of the authors’ recent research.

AB - The potential of fuzzy logic in solving controller tuning problems was realised in the mid-1960s. However, its application to tuning the classical PID controller emerged much later in the 1980s. Since that time, the authors of this chapter have spent some years with world-leading experts developing extensions and new ways of approaching this field of Fuzzy PID controller design. A special emphasis has been to develop techniques that use the power of genetic algorithms.This chapter demonstrates just how effective the genetic algorithm approach is and reports some of the authors’ recent research.

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DO - 10.1007/1-84628-148-2_9

M3 - RGC 12 - Chapter in an edited book (Author)

SN - 1-85233-702-8

SN - 978-1-85233-702-5

SN - 978-1-84996-897-3

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BT - PID Control

A2 - Johnson, Michael A.

A2 - Moradi, Mohammad H.

PB - Springer

CY - London

ER -

Fuzzy Logic and Genetic Algorithm Methods in PID Tuning

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