Application of Improved PSO and PID Neural Network Controller for Multi-motor Proportion Synchronous Control System

Abstract

PID neural network (PIDNN) controller was designed, and the adaptive mutation particle swarm optimization (PSO) algorithm is adopted to train and update its weights. The adaptive mutation PSO-PIDNN learning algorithm of motor synchronization control was put forward. According to the need of engineering, the algorithm was simplified. In proportion of multiple motor synchronization control system simulation show that the simplified PSO-PIDNN controller also can effectively realize the motor synchronization control, solve the problem of the parameter setting is not easy for traditional PID control, has good stability and fast convergence speed, no overshoot.