Multituning fuzzy control systems design

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.