Indirect Position Detection for SRM Based on Improved BP Neural Network

This paper presented a new approach of position sensorless control for switched reluctance motors(SRM) based on an improved BP neural network.This method constructed BP neural network,which of weight function became a function with adjustable parameters.And it was trained to form a single hidden layer network,then realize the non-linear mapping between motor current,flux and rotor position.Through analyzing the unique structural nature of the switched reluctance motor,the paper proposed a method of reducing the sample data,it achieves computing time.Simulation results show that this approach simplifies the complexity of the system to improve detection accuracy,it achieves indirect detection of the switched reluctance motor position.