The Application of Intelligent Control for Switched Reluctance Motor

The Intelligent control methods are drawing great attentions due to their strong adaptive ability and learning ability. Because of strongly nonlinear magnetic characteristics of switched reluctance motor(SRM), modeling of the torque characteristics is difficult. In this paper, the new torque modeling approach based on artificial neural network(ANN) is investigated, where the training data are obtained from finite element analysis(FEA). Simulation results show that the modeling algorithm can achieve great accuracy. In addition, the single neuron PID controller is proposed to replace the traditional PID controller in the speed control of switched reluctance motor drive system. Simulation and experimental results prove the advantages of the single neuron PID controller.