Demagnetization Faults Robust Detection Method Based on an Adaptive Sliding Mode Observer for PMSM

被引：0

作者：

Zhang, Changfan ^{[1
]}

Zhang, Miaoying ^{[2
]}

He, Jing ^{[1
]}

Shao, Rui ^{[2
]}

Luo, Lixiang ^{[3
]}

机构：

[1] Hunan Univ Technol, Coll Elect & Informat Engn, 188 Taishan Xi Rd, Zhuzhou City 412007, Hunan, Peoples R China

[2] Hunan Railway Profess Technol Coll, 89 Tiandong Rd, Zhuzhou City 412001, Hunan, Peoples R China

[3] China Power New Energy Dongguan Cogenerat Co Ltd, Tongxin Rd, Dongguan 523127, Guangdong, Peoples R China

来源：

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2016年 / 20卷 / 07期

关键词：

permanent-magnet synchronous motor (PMSM); demagnetization faults; adaptive sliding mode observer;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To detect demagnetization faults in real time based on an adaptive sliding mode observer, we used a permanent-magnet synchronous motor (PMSM). Demagnetization faults are first modeled for the PMSM using coordinates oriented to the magnetic field. To solve demagnetization faults problems as multiple parameters change, we used adaptive and sliding mode variable structure control and designed an adaptive sliding mode observer. The adaptive estimation algorithm of the permanent magnet flux is given and the observer's stability is proven by Lyapunov stability theory. Simulation and experimental results demonstrate the feasibility and effectiveness of our proposal.

引用

页码：1127 / 1134

页数：8

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