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文章摘要
基于神经网络磁滞模型的MCR偏磁特性研究
The study of the Magnetic Bias Properties of MCR Based on Neural Network Hysteresis Model
Received:August 15, 2014  Revised:August 15, 2014
DOI:
中文关键词: 直流偏磁  MCR  神经网络  磁滞回线  输出电流
英文关键词: dc bias  MCR  Neural network  Hysteresis loop  output current
基金项目:广东省自然科学基金资助项(S2011010004950)
Author NameAffiliationE-mail
JIANG Cui-ling* Faculty of Automation,Guangdong University of Technology,Guangzhou 815140043@qq.com 
CHENG Han-xiang Faculty of Automation,Guangdong University of Technology,Guangzhou  
YU Wei-tong Faculty of Automation,Guangdong University of Technology,Guangzhou  
CEN Zheng-jun Faculty of Automation,Guangdong University of Technology,Guangzhou  
HUANG Wo-lin Guangzhou Yuejun Electric Science Co Ltd Guangzhou  
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中文摘要:
      为了研究直流偏磁工作条件下磁阀式可控电抗器(MCR)的磁滞回线及输出电流的特性,根据MCR在直流偏磁工作条件下的实验数据,建立神经网络磁滞模型,得到磁滞回线。将MCR的电路与磁路耦合,得到绕组的输出电流。与实验波形对比,基本吻合。表明了该模型的正确性,为研究磁控电抗器的偏磁性能提供了有效方法。
英文摘要:
      To study magnetic valve type controlled reactor (MCR) of the hysteresis loop and the characteristics of the output current under the working conditions of the dc bias, according to the experimental data of MCR under dc bias, build the neural network hysteresis model, get the hysteresis loop. coupled circuit and magnetic circuit of MCR, get the winding output current..Compared them with the experimental waveforms, basic consistent. It Shows the correctness of the model. provide an effective method.for the research of magnetic control reactor partial magnetic.
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