Abstract
The convergency of simplified Hopfield Neural Network (HNN) is proved in this paper. HNN is firstly used for identification of induction motor parameters. Then it is used for design of multi-variable system controller. The outputs of the HNN based controller are calculated according to the dynamic process of HNN for object seeking, thus make the state variables of plant converge to the control object. The derived controller has the character of good robustness. It is used in this paper for flux exciting control and speed control of induction motor. Simulation results show good speed control characteristics against great variance of some drive system parameters. For the parameter which affects control performance greatly, it is adjusted by online identify output of HNN and thus improve greatly the control performance.
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