Fuzzy PID Maglev Control Based on Adaptive Genetic Algorithm

The problem of parameter tuning of maglev control system by fuzzy PID control based on adaptive genetic algorithm is studied in this paper. The magnetic suspension system has the characteristics of nonlinear and open-loop instability, and the traditional PID control needs to be adjusted repeatedly, while the fuzzy PID control based on adaptive genetic algorithm can quickly realize the accurate control of the magnetic suspension system by optimizing the parameters of the fuzzy controller through the genetic algorithm. The method has the characteristics of strong self-adaptability, high global optimization ability and nonlinear processing ability, and flexible parameter adjustment. The simulation results of matlab show that this method can significantly improve the control performance of the maglev system, and has good robustness and adaptability.