Multi-motor Synchronous System Based on Neural Network Control

On the basis of mathematic model analysis of multi-motor synchronous system, intelligent decoupling technology of multi-variable system is introduced to design neural network controller that is composed of self-turning PID controller based on diagonal recurrent neural network and adaptive neuron decoupling compensator, which make use of serial open loop decoupling strategy of adaptive neuron decoupling compensator located after self-turning PID controller. The results of experiment prove that the control system has stronger robustness, higher dynamic and static status and following performances than traditional PID, realizing better decoupling control of speed and tension of the system. The control system has good application prospects.