Research On Hydraulic Turbine Governor Fuzzy PID System Based On GA

In this paper, in order to solve the self-adaptive control of hydraulic turbine governor, An optimization method of fuzzy PID control strategy based on dynamic performance using genetic algorithms is proposed. It realizes PID control parameters self-adjusting accordingA new improving genetic algorithm with the alterable intercross probability and mutation probability to optimize the parameters of hydro turbine governor is presented. The simulation result suggests that it doesn't depend on the initial parameter value of the system. The searching efficiency can be ameliorated. At the same time, it has strong robustness and is an excellent PID optimization method.Referred the intelligent control theory, the self-adjusting parameter PID control strategy based on the fuzzy logic rules is proposed. Combining the fuzzy logic and traditional PID control, it makes governor more adaptive to the real conditions. Since the fuzzy reasoning rules are difficult to make, we apply the improving genetic algorithms to optimize the fuzzy reasoning rules and thus can obtain the excellent fuzzy reasoning rule sets. The simulation result shows that the self-adjusting PID control strategy based on the fuzzy reasoning rules is more available.