基于多重同步压缩变换的永磁同步电机初期匝间短路故障检测

doi:10.19595/j.cnki.1000-6753.tces.210464

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摘要永磁同步电机定子绕组相邻线圈之间绝缘的退化会导致匝间短路故障,而目前的研究较多集中于短路匝数辨识,较难在故障初期检测到绝缘电阻的退化过程。该文基于匝间短路故障电机有限元联合仿真模型分析了剩余绝缘电阻对定子电流的影响,提出一种基于电流9次谐波的故障检测方法。这种方法在时频域内可有效提取故障特征,并可解耦转速波动对故障检测结果的影响,因而能在稳态和瞬态运行工况下对剩余绝缘电阻从故障初期到晚期的退化趋势进行有效追踪。所提方法在一台24槽4极分布式绕组的三相永磁同步电机上进行了实验验证,结果显示,该方法对绕组剩余绝缘电阻衰减变化具有较高的监测精度,并且对于转速突变扰动具有优异的鲁棒性。

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	魏东
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	陈泳丹

关键词 ：三相永磁同步电机, 匝间短路, 故障检测, 时频分析

Abstract：The degradation of insulation capacity between adjacent coils of permanent magnet synchronous machine (PMSM) stator winding will lead to inter-turn short circuit (ITSC) fault. The current mainstream research mainly focuses on the estimation of the number of short-circuit turns, and it is difficult to detect the failure process of insulation resistance at the early stage. In this paper, the influence of residual insulation resistance on stator current is analyzed based on the finite element co-simulation model of PMSM with ITSC fault, and a fault detection method based on 9th harmonic of the current is proposed. This method is able to extract fault features effectively in time-frequency domain, and decouple the influence of speed fluctuation on fault detection results. Hence, it can effectively track the degradation trend of residual insulation resistance from the initial stage to the late stage of the fault under steady and transient operating conditions. The proposed method is verified on a 24-slot-4-pole three-phase PMSM with the distributed winding, and the results show that the proposed method has a good accuracy in monitoring the degradation of residual insulation resistance and is robust against the abrupt disturbance in rotor speed.

Key words： Three-phase permanent magnet synchronous machine inter-turn short circuit fault detection time-frequency analysis

收稿日期: 2021-04-06

PACS:

TM341

基金资助:国家自然科学基金项目（51877075）和湖湘高层次人才聚集工程-创新人才项目（S2019RSCXRC0094）资助

通讯作者: 刘侃男,1982年生,教授,博士生导师,研究方向为轨道交通/新能源车电驱技术、精密伺服控制等。E-mail: lkan@hnu.edu.cn

作者简介: 魏东男,1993年生,博士研究生,研究方向为永磁同步电机故障诊断。E-mail: dongwei@hnu.edu.cn

引用本文:

魏东, 刘侃, 丁荣军, 胡伟, 陈泳丹. 基于多重同步压缩变换的永磁同步电机初期匝间短路故障检测[J]. 电工技术学报, 2022, 37(18): 4651-4663. Wei Dong, Liu Kan, Ding Rongjun, Hu Wei, Chen Yongdan. A Multi-Synchrosqueezing Transformation Based Early Stage Detection of Inter-Turn Short Circuit Fault in Permanent Magnet Synchronous Machine. Transactions of China Electrotechnical Society, 2022, 37(18): 4651-4663.

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[1] 黄科元, 周佳新, 刘思美, 等. 考虑逆变器非线性永磁同步电机高频注入电感辨识方法[J]. 电工技术学报, 2021, 36(8): 1607-1616.
Huang Keyuan, Zhou Jiaxin, Liu Simei, et al.Indu- ctance identification method of permanent magnet synchronous motor considering inverter nonlinearity based on high-frequency injection[J]. Transactions of China Electrotechnical Society, 2021, 36(8): 1607-1616.
[2] 于安博, 刘利, 阚志忠, 等. 高频脉振信号注入永磁同步电机无滤波器初始位置辨识方法[J]. 电工技术学报, 2021, 36(4): 801-809.
Yu Anbo, Liu Li, Kan Zhizhong, et al.Initial position identification of PMSM with filterless high frequency pulse signal injection method[J]. Transactions of China Electrotechnical Society, 2021, 36(4): 801-809.
[3] 张业成, 刘国海, 陈前. 基于电流波动特征的永磁同步电机匝间短路与局部退磁故障分类诊断研究[J]. 电工技术学报, 2022, 37(7): 1634-1643, 1653.
Zhang Yecheng, Liu Guohai, Chen Qian.Dis- crimination of interturn short-circuit and local demagnetization in permanent magnet synchronous motor based on current fluctuation characteristics[J]. Transactions of China Electrotechnical Society, 2022, 37(7): 1634-1643, 1653.
[4] 谢颖, 胡圣明, 陈鹏, 等. 永磁同步电机匝间短路故障温度场分析[J]. 电工技术学报, 2022, 37(2): 322-331.
Xie Ying, Hu Shengming, Chen Peng, et al.Thermal field analysis on inter-turn short circuit fault of permanent magnet synchronous motor[J]. Transa- ctions of China Electrotechnical Society, 2022, 37(2): 322-331.
[5] Romeral L, Urresty J C, Riba Ruiz J R, et al. Modeling of surface-mounted permanent magnet synchronous motors with stator winding interturn faults[J]. IEEE Transactions on Industrial Electronics, 2011, 58(5): 1576-1585.
[6] Qi Yuan, Zafarani M, Gurusamy V, et al.Advanced severity monitoring of interturn short circuit faults in PMSMs[J]. IEEE Transactions on Transportation Electrification, 2019, 5(2): 395-404.
[7] Mahmoud H, Abou-Elyazied Abdallh A, Bianchi N, et al. An inverse approach for interturn fault detection in asynchronous machines using magnetic pendulous oscillation technique[J]. IEEE Transactions on Indu- stry Applications, 2016, 52(1): 226-233.
[8] van der Geest M, Polinder H, Ferreira J A, et al. Analysis and neutral voltage-based detection of interturn faults in high-speed permanent-magnet machines with parallel strands[J]. IEEE Transactions on Industrial Electronics, 2015, 62(6): 3862-3873.
[9] 孙宇光, 余锡文, 魏锟, 等. 发电机绕组匝间故障检测的新型探测线圈[J]. 中国电机工程学报, 2014, 34(6): 917-924.
Sun Yuguang, Yu Xiwen, Wei Kun, et al.A new type of search coil for detecting inter-turn faults in synchronous machines[J]. Proceedings of the CSEE, 2014, 34(6): 917-924.
[10] Jeong H, Moon S, Kim S W.An early stage interturn fault diagnosis of PMSMs by using negative-sequence components[J]. IEEE Transactions on Industrial Elec- tronics, 2017, 64(7): 5701-5708.
[11] Urresty J C, Riba J R, Romeral L.Diagnosis of interturn faults in PMSMs operating under nonsta- tionary conditions by applying order tracking filtering[J]. IEEE Transactions on Power Electronics, 2013, 28(1): 507-515.
[12] 丁石川, 王清明, 杭俊, 等. 计及模型预测控制的永磁同步电机匝间短路故障诊断[J]. 中国电机工程学报, 2019, 39(12): 3697-3707.
Ding Shichuan, Wang Qingming, Hang Jun, et al.Inter-turn fault diagnosis of permanent magnet synchronous machine considering model predictive control[J]. Proceedings of the CSEE, 2019, 39(12): 3697-3707.
[13] Hang Jun, Zhang Jianzhong, Cheng Ming, et al.Online interturn fault diagnosis of permanent magnet synchronous machine using zero-sequence com- ponents[J]. IEEE Transactions on Power Electronics, 2015, 30(12): 6731-6741.
[14] 李俊卿, 陈雅婷, 李斯璇. 基于深度置信网络的同步发电机励磁绕组匝间短路故障预警[J]. 电力自动化设备, 2021, 41(2): 153-158.
Li Junqing, Chen Yating, Li Sixuan.Early warning of inter-turn short circuit fault in excitation windings of synchronous generator based on deep belief net- work[J]. Electric Power Automation Equipment, 2021, 41(2): 153-158.
[15] 丁石川, 厉雪衣, 杭俊, 等. 深度学习理论及其在电机故障诊断中的研究现状与展望[J]. 电力系统保护与控制, 2020, 48(8): 172-187.
Ding Shichuan, Li Xueyi, Hang Jun, et al.Deep learning theory and its application to fault diagnosis of an electric machine[J]. Power System Protection and Control, 2020, 48(8): 172-187.
[16] 李垣江, 张周磊, 李梦含, 等. 采用深度学习的永磁同步电机匝间短路故障诊断方法[J]. 电机与控制学报, 2020, 24(9): 173-180.
Li Yuanjiang, Zhang Zhoulei, Li Menghan, et al.Fault diagnosis of inter-turn short circuit of per- manent magnet synchronous motor based on deep learning[J]. Electric Machines and Control, 2020, 24(9): 173-180.
[17] 曾发林, 孙苏民. 基于RNR-WVD与GA-小波的非稳态排气噪声声品质研究[J]. 振动与冲击, 2019, 38(12): 74-80, 104.
Zeng Falin, Sun Sumin.Study on the sound quality of unsteady exhaust noise based on RNR-WVD calcu- lation and GA-wavelet network[J]. Journal of Vibration and Shock, 2019, 38(12): 74-80, 104.
[18] 夏长亮, 金雪峰, 方红伟, 等. 基于R/S分析和小波变换的同步发电机定子绕组匝间短路故障分析[J]. 电工技术学报, 2006, 21(6): 101-105.
Xia Changliang, Jin Xuefeng, Fang Hongwei, et al.Fault analysis of internal stator windings in synchronous generators based on R/S and wavelet transform[J]. Transactions of China Electrotechnical Society, 2006, 21(6): 101-105.
[19] Daubechies I, Lu Jianfeng, Wu Hau-Tieng.Syn- chrosqueezed wavelet transforms: an empirical mode decomposition-like tool[J]. Applied and Computa- tional Harmonic Analysis, 2011, 30(2): 243-261.
[20] 吴龙文, 牛金鹏, 王昭, 等. 基于同步压缩小波变换的主信号抑制技术[J]. 电子与信息学报, 2020, 42(8): 2045-2052.
Wu Longwen, Niu Jinpeng, Wang Zhao, et al.Primary signal suppression based on synchrosqueezed wavelet transform[J]. Journal of Electronics & Information Technology, 2020, 42(8): 2045-2052.
[21] 张郑武, 冯志鹏, 陈小旺. 基于高阶同步压缩变换的行星齿轮箱声音信号共振频带特征提取[J]. 工程科学学报, 2020, 42(8): 1048-1054.
Zhang Zhengwu, Feng Zhipeng, Chen Xiaowang.Acoustic signal analysis of the resonance frequency region for planetary gearbox fault diagnosis based on high-order synchrosqueezing transform[J]. Chinese Journal of Engineering, 2020, 42(8): 1048-1054.
[22] Oberlin T, Meignen S, Perrier V.Second-order syn- chrosqueezing transform or invertible reassignment? towards ideal time-frequency representations[J]. IEEE Transactions on Signal Processing, 2015, 63(5): 1335-1344.
[23] Pham D H, Meignen S.High-order synchrosqueezing transform for multicomponent signals analysis-with an application to gravitational-wave signal[J]. IEEE Transactions on Signal Processing, 2017, 65(12): 3168-3178.
[24] Yu Gang, Wang Zhonghua, Zhao Ping.Multi- synchrosqueezing transform[J]. IEEE Transactions on Industrial Electronics, 2019, 66(7): 5441-5455.
[25] Kumar N P, Isha T B.FEM based electromagnetic signature analysis of winding inter-turn short-circuit fault in inverter fed induction motor[J]. CES Transa- ctions on Electrical Machines and Systems, 2019, 3(3): 309-315.
[26] Rosero J A, Cusido J, Garcia A, et al.Broken bearings and eccentricity fault detection for a permanent magnet synchronous motor[C]//IECON 2006-32nd Annual Conference on IEEE Industrial Electronics. Paris, France, 2006: 964-969.
[27] Ding Shichuan, Hang Jun, Li Hao, et al.Demagneti- sation fault detection in PMSM using zero sequence current components[J]. Electronics Letters, 2017, 53(3): 148-150.
[28] Fang Jie, Sun Yining, Wang Yibing, et al.Improved ZSVC-based fault detection technique for incipient stage inter-turn fault in PMSM[J]. IET Electric Power Applications, 2019, 13(12): 2015-2026.
[29] Hang Jun, Zhang Jibo, Xia Mengjie, et al.Interturn fault diagnosis for model-predictive-controlled-PMSM based on cost function and wavelet transform[J]. IEEE Transactions on Power Electronics, 2020, 35(6): 6405-6418.
[30] 张民谣, 高云鹏, 吴聪, 等. 基于自适应变分模式分解的非稳态电压闪变包络参数检测[J]. 电工技术学报, 2021, 36(3): 599-608.
Zhang Minyao, Gao Yunpeng, Wu Cong, et al.Non- stationary voltage flicker envelope parameters detection based on adaptive variational mode decom- position[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 599-608.
[31] 何玉灵, 孙凯, 王涛, 等. 基于变分模态分解与精细复合多尺度散布熵的发电机匝间短路故障诊断[J]. 电力自动化设备, 2021, 41(3): 164-172.
He Yuling, Sun Kai, Wang Tao, et al.Fault diagnosis of generator interturn short circuit fault based on variational mode decomposition and refined com- posite multiscale dispersion entropy[J]. Electric Power Automation Equipment, 2021, 41(3): 164-172.