PID controller parameter optimization method based on genetic algorithm and motor

The invention relates to a PID controller parameter optimization method based on a genetic algorithm and a motor. The two PID controllers are in cascade control; different control parameters are set;kp1, Ki1, Kd1, Kp2, Ki2 and Kd2 are subjected to binary coding and then are combined into a plurality of different individuals; and forming an initial population, determining the fitness of each individual in the initial population; corresponding individuals are selected according to the fitness to be subjected to copying, crossing and mutation operation in sequence; forming next generation populations, S2 and S3 are iteratively executed on the next generation of population; end of iterative process, and finally, taking the individual with the maximum fitness in the generated population as anoptimal solution individual. Kp1, Ki1, Kd1, Kp2, Ki2 and Kd2 of the optimal solution individuals serve as optimal control parameters, the optimal control parameters are used for controlling a controlled object, the optimizatio