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Optimization design of TS-PID fuzzy controllers based on genetic algorithms

TS-PID fuzzy controllers are a class of Tagagi-Sugeno (TS) fuzzy controllers whose rule consequences employ PID expressions. The analytical model of typical TS-PID fuzzy controllers is proposed in this paper. It can be used to develop a fast and precise control algorithm in both optimal design and practical use. The essential character of a typical TS-PID fuzzy controller is investigated to be a nonlinear PID controller. Based on genetic algorithms (GA's), an optimal design method of TS-PID fuzzy controllers is discussed in detail by means of the analytical model. The simulation results of a marine control system show that a TS-PID fuzzy controller designed via GA's has a good performance.