Fuzzy Logic and Genetic Algorithm Methods in PID Tuning

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

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Detail(s)

Original languageEnglish
Title of host publicationPID Control
Subtitle of host publicationNew Identification and Design Methods
EditorsMichael A. Johnson, Mohammad H. Moradi
Place of PublicationLondon
PublisherSpringer 
Chapter9
Pages339-360
ISBN (electronic)978-1-84628-148-8
ISBN (print)1-85233-702-8, 978-1-85233-702-5, 978-1-84996-897-3
Publication statusPublished - 2005

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.

Citation Format(s)

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 WorksRGC 12 - Chapter in an edited book (Author)peer-review