基于神经网络的开关磁阻电机直接转矩控制

DTC of Switch Reluctance Motor Based on Neural Network

由于开关磁阻电机(SRM)的双凸极结构,其磁路高度非线性。采用传统控制方法存在大转速超调,大转矩脉动等问题。本文提出基于神经网络PID速度调节器的直接转矩控制(DTC),并在MATLAB/Simulink平台搭建仿真模型,结果表明该控制方法提高了SRM的调速性能。

Because of double salient structure of switch reluctance motor(SRM)with the highly nonlinear magnetic circuit,it is difficult to achieve fine control result by the conventional control method.In order to deal with this problem,a direct torque control(DTC)based on neural network PID speed regulator is presented and the simulation model has been built in MATLAB/Simulink platform.Simulation results show that the speed response ability is improved.