Optimization of fuzzy control rules based on differential evolution algorithm

The fuzzy control does not need accurate mathematics model, and has the feature of simple implementation and good control effect. But there isn't a systematic design method, and it's more difficult to adjust fuzzy rules because of the influence of subjective factors. To solve the problem, a method using improved differential evolution algorithm to optimize fuzzy control rules is presented in this paper. The optimization process is realized by using matlab procedure to the two-tank system and the simulation result suggests that, the control qualities of fuzzy controller, of which the control rules have been optimized, has been much improved.