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

doi:10.16265/j.cnki.issn1003-3033.2022.06.2597

Abstract

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

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.

Figures/Tables 9

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Tab.1

Fault detection results

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

Tab.1

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