多级精细模型下的电机匝间短路故障诊断

doi:10.16265/j.cnki.issn1003-3033.2022.06.2597

中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (6): 95-102.doi: 10.16265/j.cnki.issn1003-3033.2022.06.2597

多级精细模型下的电机匝间短路故障诊断

余伟¹(), 王志鹏¹, 刘硕², 何刚³

1 佛山科学技术学院机电工程与自动化学院,广东佛山528231
2 韩国京畿大学电子信息学院, 韩国京畿道水原 449-701
3 华南理工大学广州现代产业技术研究院,广东广州 511455

收稿日期:2022-01-11 修回日期:2022-04-12 出版日期:2022-06-28 发布日期:2022-12-28
作者简介:
余伟 (1983—),男,江西樟树人,博士,副教授,主要从事系统建模、超精密运动控制、复杂系统故障诊断方面的研究。E-mail: yuwei83@fosu.edu.cn
何刚,工程师
基金资助:
国家自然科学基金资助(61803086); 国家自然科学基金资助(61733015)

Inter-turn short circuit fault diagnosis for motors based on multi-level fine model

YU Wei¹(), WANG Zhipeng¹, LIU Shuo², HE Gang³

1 School of Mechatronics Engineering and Automation, Foshan University, Foshan Guangdong 528231, China
2 School of Electronic Information, Kyonggi University, Suwon Gyeonggi Province 449-701, Korea
3 Guangzhou Institute of Modern Industrial Technology, South China University of Technology, Guangzhou Guangdong 511455, China

Received:2022-01-11 Revised:2022-04-12 Online:2022-06-28 Published:2022-12-28

摘要/Abstract

摘要：

为有效诊断地铁轨道交通电机运行过程中的匝间短路故障,提出基于分数阶微积分表示的永磁同步电机系统多级精细模型(整数阶、0.1级分数阶、0.01级分数阶)的故障诊断方法;在此基础之上,设计相应级别的多级观测器,生成相应的多级残差表示,设立相应的多级阈值;根据残差和阈值实现多级故障诊断,并进行仿真验证。结果表明:整数阶模型仅能检测出20%匝间短路故障,0.1级分数阶模型可以检测出10%的小范围匝间短路故障,而0.01分数阶模型可以检测出5%的微小匝间短路故障,即所提出的方法能诊断电机的微小匝间短路故障,且实现故障的分级。

关键词: 多级精细模型, 匝间短路故障, 故障诊断, 永磁同步电机, 地铁轨道交通

Abstract:

In order to effectively diagnose turn-to-turn short circuit faults during operation of metro rail transit motors, a diagnosis method was proposed, which established a multi-level fine model of permanent magnet synchronous motor system based on fractional order calculus representation (integer order, 0.1 level fractional order, 0.01 level fractional order). Then, corresponding multi-level observer was designed, residual representation was generated, and threshold was set. Finally, multi-level fault diagnosis was achieved according to residual and threshold before simulation was conducted for verification. The results show that integer-order model can detect 20% inter-turn short-circuit faults, while 0.1-level fractional-order model detects 10% and the 0.01-level one detects 5% of tiny faults, which indicates that the proposed method can diagnose tiny inter-turn short-circuit faults and achieve fault classification.

Key words: multi-level fine model, turn-to-turn short circuit fault, fault diagnosis, permanent magnet synchronous motor, metro rail transportation

余伟, 王志鹏, 刘硕, 何刚. 多级精细模型下的电机匝间短路故障诊断[J]. 中国安全科学学报, 2022, 32(6): 95-102.

YU Wei, WANG Zhipeng, LIU Shuo, HE Gang. Inter-turn short circuit fault diagnosis for motors based on multi-level fine model[J]. China Safety Science Journal, 2022, 32(6): 95-102.

图/表 9

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表1

故障诊断结果

故障大小	20% 匝间短路	10%匝间短路	5%匝间短路
一级残差	$\| e 1 \| > J p 1$	$\| e 1 \| ≤ J p 1$	$\| e 1 \| ≤ J p 1$
二级残差	$\| e 2 \| > J p 2$	$\| e 2 \| > J p 2$	$\| e 2 \| ≤ J p 2$
三级残差	$\| e 3 \| > J p 3$	$\| e 3 \| > J p 3$	$\| e 3 \| > J p 3$
诊断结果	大故障	小故障	微小故障

表1

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多级精细模型下的电机匝间短路故障诊断

Inter-turn short circuit fault diagnosis for motors based on multi-level fine model

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