Multituning fuzzy control systems design

Citation
Cc. Wong et al., Multituning fuzzy control systems design, CYBERN SYST, 31(6), 2000, pp. 713-729
Citations number
15
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
CYBERNETICS AND SYSTEMS
ISSN journal
01969722 → ACNP
Volume
31
Issue
6
Year of publication
2000
Pages
713 - 729
Database
ISI
SICI code
0196-9722(200009)31:6<713:MFCSD>2.0.ZU;2-V
Abstract
A multituning fuzzy control system structure that involves two simple, but effective tuning mechanisms, is proposed: one is called fuzzy control rule tuning mechanism (FCRTM); the other is called dynamic scalar tuning mechani sm (DSTM). In FCRTM, it is used to generate the necessary control rules wit h a center extension method. In DSTM, it contains three fuzzy IF-THEN rules for determining the appropriate scaling factors for the fuzzy control syst em. In this paper, a method based on the genetic algorithm (GA) is proposed to simultaneously choose the appropriate parameters in FCRTM and DSTM. Tha t is, the proposed GA-based method can automatically generate the required rule base of fuzzy controller and efficiently determine the appropriate map For building the dynamic scalars of fuzzy controller. A multiobjective fit ness function is proposed to determine an appropriate parameter set such th at not only the selected fuzzy control structure has fewer fuzzy rules, but also the controlled system has a good control performance. Finally, an inv erted pendulum control problem is given to illustrate the effectiveness of the proposed control scheme.