Motor control method based on PI parameter self-tuning

The invention provides a motor control method based on PI parameter self-tuning. Based on a traditional motor (permanent magnet synchronous motor) servo system, a genetic controller and a fuzzy controller are added. The genetic controller is adopted to optimize a fuzzy control rule, a quantification factor and a proportion factor in the fuzzy controller, and the optimal fuzzy control rule, quantification factor and proportion factor are obtained. At the same time, the fuzzy controller which is optimized by the genetic controller is adopted to carry out PI parameter self-tuning on a speed PI regulator, and thus the fact that the system has the optimal dynamic and static performance is ensured. The motor control method has the advantages that a genetic algorithm can search the global optimum, the fuzzy algorithm has strong adaptability and does not rely on a mathematical model of a control object, and the anti-interference ability is strong, thus the motor (permanent magnet synchronous motor) servo system has better dynamic and static performance and strong adaptive ability and better robust performance.