A Torque Model Study of Switched Reluctance Motor Using BP Neural Network

摘要

In the paper, a neural network torque model of SRM is established, based on merits of backpropagation (BP) neural network in the area of modeling and controlling for nonlinear system. The simulation results show the torque model based on BP-neural network is more robust and adaptive, and can reflect the working properties of SRM more accuracy than locallinearization torque model.