Space Vector PWM Based on Wavelet Neural Network

In order to research the influence of hidden layer neurons of artificial neural network(ANN) and switching frequency of power switch device on the performance of permanent magnet synchronous motor,a algorithm of space vector pulse width modulation(SVPWM) based on artificial neural network(ANN) was proposed.The model of closed-loop control system of permanent magnet synchronous motor was built and simulated with MATLAB/Simulink,and the relation between the parameters of ANN and the performance of motor was researched.The results show that the permanent magnet synchronous motor generates less harmonic distortion and pulsating torque by chooseing the optimum hidden layer neurons of ANN and switching frequency of power switch device.