High-Resistance Connection Detection in Permanent Magnet Synchronous Machine Using Zero-Sequence Current Component

被引:32
|
作者
Hang, Jun [1 ]
Zhang, Jianzhong [1 ]
Cheng, Ming [1 ]
Zhang, Bangfu [1 ]
Ding, Shichuan [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Fault diagnosis; frequency tracking algorithm; high-resistance connection (HRC); permanent magnet machine; wind energy; FAULT-DIAGNOSIS; MOTORS;
D O I
10.1109/TPEL.2015.2479846
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper focuses on the development of an online method for diagnosing high-resistance connection (HRC) in delta-connected permanent magnet synchronous machine (PMSM) using zero-sequence current component (ZSCC). The development of this method begins with the establishment of the mathematic model of the PMSM with the HRC. Based on the model, a ZSCC-based method is proposed to diagnose the HRC. The fault indicator and angle differences are defined for fault diagnosis. To implement online diagnosis, an effective frequency tracking algorithm is applied. Finally, the fault diagnosis steps are presented. This method is capable of detecting the fault, evaluating the fault severity, and identifying the faulty phases. The simulation and experiment are carried out to verify the proposed method. Both the results show the validity of the proposed method, leading to the effective diagnosis of the HRC in the delta-connected PMSM.
引用
收藏
页码:4710 / 4719
页数:10
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