Three-Motor Variable-Freqency Speed-Regulation Synchronous System Based on Neural Network Control

Three-motor variable-freqency speed-regulation synchronous system is a multi-input multi-output(MIMO), nonlinear, and coupling system. The mathematic model of the system is established in the way of analytical expression. Self-tuning PID controllers based on DRNN neural network and neuron decoupling compensator are adopted to realize the adaptive decoupling control of speed and tension. The experiment results show that compared with traditional PID constant parameters control, the control system can obtain optimal parameters of the PID controller according to online idetification the DRNN network, realize the better decoupling control of speed and tension, and possess better dynamic and static characteristics and good robust.