摘要
在分析现有PWM逆变器控制技术的基础上 ,讨论了单相PWM逆变器残余误差产生的机理 ,构造出单相PWM逆变器残余误差的神经网络消除模型 ,论述了神经网络训练样本拾取方法。该控制方法能有效地提高PWM逆变器的输出精度。
Based on analyzing the PWM inverter's existing control methods,the remnants error's producing mechanism of single PWM inverter was discussed,the neural Network model was constructed to eliminate the single PWM inverter's remnants error,the training samples' obtaining method was give out.This method is available to increase the PWM inverter's output accuracy.
出处
《机床与液压》
北大核心
2004年第10期171-173,共3页
Machine Tool & Hydraulics
关键词
残余误差
神经网络
训练样本
Remnants error
Neural network
Training sample
