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Application of simplex method in optimal design of fuzzy controller

Fuzzy control rules and parameters of traditional fuzzy controller are fixed, and fuzzy control system contains the steady state error. In view of these shortcomings, a new kind of fuzzy controller which has integral link is designed. The values of fuzzy control rule factor, quantifying factors, scaling factor and integrating factor based on ITAE optimal index are optimized by simplex method. In MATLAB Simulink environment, simulation model of fuzzy control system is established and optimization algorithm is programmed. The simulation results indicate that simplex method can still find rational values and fuzzy control system has good dynamic characteristic and static accuracy, even if there are great differences in the characteristics of the time-varying controlled object.