Abstract
Through the analysis of the mathematical model of multi induction motor synchronous drive system, a new control method based on neural network is proposed and applied into the system.The neural network controller is composed of self-tuning PID controller based on diagonal recurrent neural network (DRNN) and neuron decoupling compensator. The three self-tuning PID controllers are used in the speed and tension control loops respectively, making the system possess stronger adaptive capability and robustness. The neuron decoupling compensator integrates the effect of the three loops and realizes the adaptive decoupling control between speed and tension by training the weights of network to compensate the coupling relation. The experiment results show that, compared with traditional PID control, the control system can obtain optimal parameters according to online identification of the DRNN network, realizing the better decoupling control of speed and tension, and the system has better dynamic, static characteristics and robustness.
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