The Design of Three-motor Intelligent Synchronous Decoupling Control System

Aiming at the characteristics of multi-input and multi-output, nonlinearity, time-variation and strong coupling in the three-motor synchronous control system, and on the basis of mathematic model analysis of three-motor synchronous control system, the neural network control system is designed. It is composed of three intelligent PI D controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line and neuron decoupling compensator. The control of speed and tension of system is realized by three intelligent PID controllers based on BP neural network, and the decoupling control of coupled variables is achieved by neuron decoupling compensator. Experiment is combined with PLC, and the results indicate that the control system can get some optimal parameters of the PID controllers according to different running state of system. The method is designed to realize better decoupling control between the speed and tension in the system, and it has better dynamic and static characteristics.