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.
|Title of host publication||PID control : New identification and design methods|
|Editors||Michael A. JOHNSON, Mohammad H. MORADI|
|Number of pages||22|
|Publication status||Published - 2005|
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.