Rotor Resistance Identification based on Neural Network for Induction Motor

被引：0
作者：
Yang, Xinnian [1 ,2 ]
Li, Guoli [1 ,2 ,4 ]
Xie, Fang [3 ,4 ]
Hu, Cungang [3 ,4 ]
Qian, Zhe [3 ,4 ]
机构：
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230039, Shushan, Peoples R China
[2] Anhui Univ, Natl Engn Lab Energy Saving Motor & Control Techn, Hefei 230039, Shushan, Peoples R China
[3] Anhui Univ, Power Qual Engn Res Ctr, China Minist, Hefei 230039, Shushan, Peoples R China
[4] Anhui Univ, Anhui Prov Lab Elect Economize & Safety, Hefei 230039, Shushan, Peoples R China
来源：
PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS | 2015年
关键词：
rotor resistance; on-line identification; neural network; vector-controlled; STATOR;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper proposes an on-line identification method of rotor resistance with neural network for vector-controlled induction motor. The mathematical model with rotor resistance variation of vector-controlled induction motor is also presented. The identification method and mathematical model have the advantages of clear physical ideas and simple structure. Theoretical analysis and computer simulation result demonstrate that the method is effective and simple.
引用
收藏
页码：1243 / 1246
页数：4
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