Research on on-line fuzzy rule self-adjusting algorithm and its simulation
模糊规则在线自调整算法及仿真研究

On the basis of a modifying factor,this paper proposed an improved structure of analytic expression based fuzzy controller,and introduced a modifying function capable of regulating the fuzzy control rules dynamically.In addition,implemented a combinatorial optimization of the fuzzy controller's parameters based on GA by using this modifying function.The result from simulation on a second-order system shows that the fuzzy controller designed by the suggested method has the advantages of fast response,small overshoot and high steady accuracy.Thus improved the performance of the fuzzy control system.