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[1]郜克存,戴瑜兴,杨金辉,等.三相高功率因数整流器的神经网络内模控制[J].电机与控制学报,2012,(02):44-49.
 GAO Ke-cun,DAI Yu-xing,YANG Jin-hui,et al.The control method of three-phase high-factor rectifier based on neural network internal model theory[J].,2012,(02):44-49.
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三相高功率因数整流器的神经网络内模控制(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
期数:
2012年02
页码:
44-49
栏目:
出版日期:
2012-02-20

文章信息/Info

Title:
The control method of three-phase high-factor rectifier based on neural network internal model theory
作者:
郜克存; 戴瑜兴; 杨金辉; 蒋近;
湖南大学电气与信息工程学院; 青岛创统集团;
Author(s):
GAO Ke-cun12DAI Yu-xing1YANG Jin-hui1JIANG Jin1
1.College of Electrical and Information Engineering,Hunan University,Changsha 410082,China; 2.Qingdao Chuangtong Group,Qingdao 266101,China
关键词:
三相高功率因数整流器 电流波形 内模控制 神经网络
Keywords:
three-phase high-factor rectifier current waveform internal model theory neural network
分类号:
TM461
DOI:
-
文献标志码:
A
摘要:
针对三相高功率因数整流器采用常规PID控制效果差的问题,利用坐标变换,提出一种基于神经网络内模原理的整流器电流波形控制方案。用神经网络预估器作为整流器的内部模型,用神经网络辨识预估整流器正模型及其逆模型,在线修正、补偿内部模型与被控整流器之间的模型失配。分析结果表明,在该方案控制下系统稳压精确度高,有较快的动态响应,网侧电流谐波畸变率小。实验结果验证了该方法的可行性和有效性。
Abstract:
Aiming at the problem of proportion integration differentitation(PID) control for three-phase high-factor rectifier,according to the characteristic of three-phase rectifier based on coordinate transformation,a control scheme of rectifier current output waveform based on neural network internal model theory was presented.The control scheme took a neural network estimate model as the internal model of three-phase rectifier to estimate the actual output waveform.As a result,highly accurate steady o...

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备注/Memo:
国家科技重大专项(2009ZX02011-02);住房和城乡建设部科技项目
更新日期/Last Update: 2012-05-28