Simulation of three-motor synchronous control system based on BP neural network

Multi-motor synchronous system is being widely applied in industrial field, in order to ulteriorly improve synchronous performance of multi-motor system, this paper presents a synchronous control system for three-motor which includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling control of multi-variable to reduce mutual effect. The results of simulation indicates that the control system can get the optimal parameters of the PID controllers according to different running state of system, and has better performances of dynamic and static status comparing to traditional PID, and realizes better decoupling control of speed and tension in the system.