Research and Application of Self-optimum and Fuzzy Controller Based on Genetic Algorithm

After analyzing characteristics and demands of electric driving system in mines, a kind of self optimum and fuzzy controller based on genetic algorithm and fuzzy control theory is presented. The simulation and real time control results show that regulating system designed with the controller has provided with advantages of the fast response speed, no differential static, non overshoot and strong in robustness. It is an effective control algorithm combined genetic algorithm.