Design and Optimization of Membership Function Based on Analytical Structure and Immune Algorithm

According to the analytical structure of fuzzy controller and immune algorithm, a new method about the design and optimization of membership function is presented in the paper. By the derivation of analytical structure of fuzzy controller, the relationship between membership function and output is discussed mathematically, and a kind of membership function with difference-interval factor is designed, which is optimized by immune algorithm. The result of simulation shows that the method is effective and easy to be realized with less optimal parameters.