A Novel Variable Universe Adaptive Fuzzy Controller
Kai Xiong Hu · Mohu xitong yu shuxue · 2011
There often exist problems of lower control accuracy and longer settling time in traditional adaptive fuzzy control approach,which hinder its development.Variable universe adaptive fuzzy controller can significantly improve control accuracy and shorten adjustment time,but its control effect strongly depends on the initial fuzzy rules,which limits its field of application.With regard to the above problems,this paper proposes a novel adaptive fuzzy control algorithm for a class of affine nonlinear systems.The paper first introduces contraction-expansion factor into the antecedents of fuzzy rules,and employs the parameter projection method to adjust the consequence focal points in the algorithm.Applying Lyapunov synthesis approach,this paper proved that the novel adaptive control algorithm can guarantee the global stability of the closed-loop system in the sense of that all signals involved are uniformly bounded.Simulation results show that the new controller not only can improve the control accuracy,but also avoid the dependence on the initial fuzzy rules reasonably.