Fuzzy Logic and Genetic Algorithm Methods in PID Tuning
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 12_Chapter in an edited book (Author) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| 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 |
| Publication status | Published - 2005 |
Link(s)
| DOI | DOI |
|---|---|
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(942ade64-9e03-4321-86f0-7bdb83f2bd2a).html |
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.
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, 32, 41, 45) › 12_Chapter in an edited book (Author) › peer-review
