Three-motor synchronous system based on neural network control

Based on neural network, a three-motor synchronous system was designed. Firstly, the mathematical model of three-motor frequency control system was presented. Secondly, the new system was designed including three intelligent PID controllers and a neuron decoupling compensator. The three controllers based on BP neural network arithmetic adjust the parameters on-line and adaptively control the velocity loop and two tension loop respectively. The compensator compensates the coupling effects between the velocity loop and two tension loops by training the weights of networks. Thirdly, the experiments of decoupling property, tracking performance and anti-disturbance performance were completed on the platform constructed on the base of SIMATIC S7-300 power PLC. The results show that compared with traditional PID parameters control, the control system can obtain some optimal parameters of the PID controllers according to different running state of system, realize the better decoupling control of speed and tension, and possess better dynamic and static characteristics and stronger anti-interference ability.