Abstract: In allusion to the disadvantages of the traditional parameters optimization method of PID controller for needing the precise mathematic model, the adaptive ability and learning ability of fuzzy control theory and neural network and the global optimization ability of genetic algorithm are used. A parameters optimization method of PID controller based on genetic algorithm, fuzzy control theory and neural network is proposed. The parameters and structure of fuzzy neural network are comprehensively optimized by using genetic algorithm based on the decimal coding. Then the optimized fuzzy neural network is used to compute the three parameters of PID controller in order to obtain the optimization PID controller. Finally, the optimization method is applied in the central air conditioning control system of Dazhou Iron & Steel Group, the simulation results show that the optimization method takes on the strong anti-interference ability and robustness.

Key words: genetic algorithm, fuzzy control theory, neural network, optimization, PID controller