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PWM逆变器残余误差的神经网络消除方法
引用本文:王怀颖,刘永超. PWM逆变器残余误差的神经网络消除方法[J]. 机床与液压, 2004, 0(10): 171-173
作者姓名:王怀颖  刘永超
作者单位:南京师范大学控制系,南京,210097;南京师范大学数科院计算机系,南京,210097
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.

关 键 词:残余误差  神经网络  训练样本
文章编号:1001-3881(2004)10-171-3
修稿时间:2003-09-08

The PWM Inverter' Remnants Error Eliminating Method by Neural Network
WANG Huai-ying ,LIU Yong-chao. The PWM Inverter' Remnants Error Eliminating Method by Neural Network[J]. Machine Tool & Hydraulics, 2004, 0(10): 171-173
Authors:WANG Huai-ying   LIU Yong-chao
Affiliation:WANG Huai-ying 1,LIU Yong-chao 2
Abstract: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.
Keywords:Remnants error  Neural network  Training sample
本文献已被 CNKI 维普 万方数据 等数据库收录!
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