The Sampling Method of Grid-connected Current for Three-phase PWM Rectifier Based on Wavelet and Neural Network Theory
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According to the high performance demand of grid-connected current,the paper presents a sampling scheme based on wavelet and neural network theory.The method composes the function approximation capability of the neural network and local and multi-resolution characteristics of wavelet transform.For this reason the network has more flexi-ble and efficient function approximation capability.The simulation and experiment verify the scheme can work well.Highly accurate steady output,fast response and less distorted waveform are gained.