Study on double motor synchronous system of neural network control
by Xingqiao Liu, Chong Chen, Xiuwen Liang, Jianqun Hu, Yangbiao Liu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 7, No. 4, 2009

Abstract: Taking the multi-variable, non-linear, strong-coupling, of synchronisation control system of the AC induction motors as study object, focusing on the system of induction motors powered by current-tract SPWM transducers, the mathematical model of the double motor synchronous system is established. Combining decoupling technology of adaptive neuron decoupling compensator, RBF neural network adaptive PID controller is adopted to design the neural network controller of two-motor synchronous system. The experiment results show that the double motor synchronous system is decoupled, which is based on neural network control.

Online publication date: Fri, 14-Aug-2009

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