Modeling and Mechanism Analysis for Sensorless Control of Permanent Magnet Synchronous Motor Drive System with the Effects of Demagnetization Faults
Wang Huimin1,2, Guo Gaoli1, Zuo Yun1, Wan Sibo3, Ge Xinglai1
1. Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle Ministry of Education Southwest Jiaotong University Chengdu 610031 China; 2. State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive Zhuzhou 410075 China; 3. Tangshan Institute of Southwest Jiaotong University Tangshan 063000 China
Abstract:Due to the mismatch between high-power operation and the limited capacity for heat dissipation, as well as the long-term effects of uneven operating conditions, the issue of demagnetization faults is regarded as one of the main challenges for the reliable operation of sensorless-controlled permanent magnet synchronous motor (PMSM) drive systems. Many models fail to elaborate on the effects of different demagnetization faults on the performance of sensorless-controlled PMSM drives. This paper proposes a model that considers the impact of demagnetization faults. Firstly, a finite element model (FEM) of PMSM under healthy conditions is established. When the PMSM is operating under healthy conditions, the magnetic induction lines and flux density distributions of the PMSM are symmetric. Moreover, the no-load air-gap flux density is also symmetric in this case. With the fast Fourier transform (FFT) analysis results, there are several main harmonic components (e.g., 5th-and 7th-order harmonic components) in the no-load air-gap flux density. Then, the FEM of PMSM with demagnetization faults is further established. Regarding the uniform demagnetization fault, all permanent magnets exhibit the same degree of demagnetization. The uniform demagnetization fault is simulated by adjusting the residual magnetization curve of every permanent magnet. Then, the PMSM with uniform demagnetization faults still shows the symmetric magnetic induction lines and flux density distributions. Moreover, the no-load air-gap flux density in this case exhibits the same behavior when the PMSM is operating under healthy conditions. The situation changes completely when the PMSM is operating under non-uniform demagnetization faults. Different types of non-uniform demagnetization faults, such as single permanent-magnet, two adjacent permanent-magnet, two alternating permanent-magnet, and two relative permanent-magnet pole demagnetization faults, are carefully analyzed. When the PMSM experiences non-uniform demagnetization faults, the asymmetric magnetic induction lines and flux density distributions are observed. The no-load air-gap flux density undergoes obvious distortions. That is, with the single permanent-magnet and two adjacent permanent-magnet pole demagnetization faults, in addition to the integer-order harmonic components (e.g., 5th-and 7th-order harmonic components), the non-integer-order harmonic components (e.g., 1/4-, 2/4-, 3/4-, 5/4-, 6/4-, and 7/4-th order harmonic components) appear in the no-load air-gap flux density. The no-load air-gap flux density suffers from the odd non-integer-order harmonic components (e.g., 1/4-, 3/4-, 5/4-, and 7/4-th order harmonic components) under a two alternating permanent-magnet poles demagnetization fault. At the same time, the even non-integer-order harmonic components (e.g., 2/4-and 6/4-th order harmonic components) appear in the no-load air-gap flux density under a two relative permanent-magnet poles demagnetization fault. Based on the mathematical model of the PMSM under healthy conditions, the permanent magnet flux is described under uniform and non-uniform demagnetization faults. Moreover, by combining the position estimation scheme based on the sliding mode observer (SMO) and phase-locked loop (PLL) with a vector-controlled PMSM drive system, an analytical model of sensorless-controlled PMSM drives with demagnetization faults is obtained. The effects of demagnetization faults on the performance of sensorless-controlled PMSM drives are elaborated. Finally, hardware-in-the-loop (HIL) tests are carried out. When the uniform demagnetization faults occur, sensorless-controlled PMSM drives still operate symmetrically. Moreover, within an acceptable range of demagnetization degree, the uniform demagnetization fault shows a minor impact on the performance of sensorless-controlled PMSM drives. The speed and position estimations are negligibly affected, and the phase current increases to maintain the motor's torque performance. In contrast, the sensorless-controlled PMSM drives face issues of obvious current distortions and large torque ripples under non-uniform demagnetization faults. Consequently, the degraded speed and position estimations are observed. Additionally, with the increase of demagnetization degree, the effects of demagnetization fault on the performance of the sensorless-controlled PMSM drives expand. Under different demagnetization faults, sensorless-controlled PMSM drives exhibit varying behaviors.
王惠民, 郭高利, 左运, 万斯波, 葛兴来. 永磁同步电机无位置传感器控制系统退磁故障建模及影响机理分析[J]. 电工技术学报, 2025, 40(18): 5877-5891.
Wang Huimin, Guo Gaoli, Zuo Yun, Wan Sibo, Ge Xinglai. Modeling and Mechanism Analysis for Sensorless Control of Permanent Magnet Synchronous Motor Drive System with the Effects of Demagnetization Faults. Transactions of China Electrotechnical Society, 2025, 40(18): 5877-5891.
[1] 冯江华. 轨道交通永磁电机牵引系统关键技术及发展趋势[J]. 机车电传动, 2018(6): 9-17. Feng Jianghua.Key technology and development trend of permanent magnet motor traction system for rail transit[J]. Electric Drive for Locomotives, 2018(6): 9-17. [2] 罗力岩, 樊启高. 一种改进型永磁同步电机无模型预测电流控制策略[J]. 电工技术学报, 2025, 40(4): 1034-1045. Luo Liyan, Fan Qigao.An improved model-free predictive current control strategy for permanent magnet synchronous motors[J]. Transactions of China Electrotechnical Society, 2025, 40(4): 1034-1045. [3] 毕贵红, 李玉洪, 赵四洪, 等. 基于WST和Shuffle-PMDA的永磁同步电机故障识别[J/OL]. 电工技术学报, 2025: 1-16. (2025-02-28). https://link.cnki.net/doi/10.19595/j.cnki.1000-6753.tces.241537. Bi Guihong, Li Yuhong, Zhao Sihong, et al. Permanent magnet synchronous motor fault identi-fication based on WST and shuffle-PMDA[J/OL]. Transactions of China Electrotechnical Society, 2025: 1-16. (2025-02-28). https://link.cnki.net/doi/10.19595/j.cnki.1000-6753.tces.241537. [4] Wang Huimin, Yang Yongheng, Ge Xinglai, et al.PLL-and FLL-based speed estimation schemes for speed-sensorless control of induction motor drives: review and new attempts[J]. IEEE Transactions on Power Electronics, 2022, 37(3): 3334-3356. [5] Wang Gaolin, Valla M, Solsona J.Position sensorless permanent magnet synchronous machine drives: a review[J]. IEEE Transactions on Industrial Elec-tronics, 2020, 67(7): 5830-5842. [6] 梅三冠, 卢闻州, 樊启高, 等. 基于滑模观测器误差补偿的永磁同步电机无位置传感器控制策略[J]. 电工技术学报, 2023, 38(2): 398-408. Mei Sanguan, Lu Wenzhou, Fan Qigao, et al.Sensorless control strategy of permanent magnet synchronous motor based on error compensation estimated by sliding mode observer[J]. Transactions of China Electrotechnical Society, 2023, 38(2): 398-408. [7] Yi Chenpei, Lin Y J, Ho P J, et al.Magnet fault diagnosis for permanent magnet synchronous motor based on flux estimation with PWM voltage measurement[J]. IEEE Transactions on Industrial Electronics, 2025, 72(2): 2100-2110. [8] 高彩霞, 李炳锟, 陈昊, 等. 基于半周反电势残差的永磁同步电机局部退磁故障诊断[J]. 电机与控制学报, 2023, 27(7): 183-194. Gao Caixia, Li Bingkun, Chen Hao, et al.Local demagnetization fault diagnosis of permanent magnet synchronous motor based on half-period back EMF residual[J]. Electric Machines and Control, 2023, 27(7): 183-194. [9] 崔刚, 熊斌, 黄康杰, 等. 电动汽车用永磁电机的失磁空间分布特性及影响因素[J]. 电工技术学报, 2023, 38(22): 5959-5974. Cui Gang, Xiong Bin, Huang Kangjie, et al.Spatial distribution characteristics and influencing factors of demagnetization of permanent magnet motor for electric vehicle[J]. Transactions of China Electro-technical Society, 2023, 38(22): 5959-5974. [10] 黄康杰, 熊斌, 崔刚, 等. 基于Pearson相关性分析的双V型永磁电机失磁故障动态识别方法研究[J]. 电工技术学报, 2024, 39(22): 7111-7125. Huang Kangjie, Xiong Bin, Cui Gang, et al.Research on dynamic identification method of loss-of-excitation fault of double V permanent magnet motor based on Pearson correlation analysis[J]. Transactions of China Electrotechnical Society, 2024, 39(22): 7111-7125. [11] Guo Baocheng, Huang Yunkai, Peng Fei, et al.General analytical modeling for magnet demagneti-zation in surface mounted permanent magnet machines[J]. IEEE Transactions on Industrial Electronics, 2019, 66(8): 5830-5838. [12] Verkroost L, De Bisschop J, Vansompel H, et al.Active demagnetization fault compensation for axial flux permanent-magnet synchronous machines using an analytical inverse model[J]. IEEE Transactions on Energy Conversion, 2020, 35(2): 591-599. [13] 史涔溦, 彭琳, 张振, 等. 电压源激励下表贴式永磁同步电机退磁故障建模与分析[J]. 电工技术学报, 2025, 40(8): 2430-2440. Shi Cenwei, Peng Lin, Zhang Zhen, et al.Modeling and analysis of demagnetization fault in surface mounted permanent magnet synchronous motors with voltage source excitation[J]. Transactions of China Electrotechnical Society, 2025, 40(8): 2430-2440. [14] Li Zhaokai, Huang Xiaoyan, Yu Yelong, et al.Nonlinear analytical modelling for surface-mounted permanent magnet motors with magnet defect fault[J]. IEEE Transactions on Energy Conversion, 2022, 37(3): 1955-1964. [15] Almandoz G, Gómez I, Ugalde G, et al.Study of demagnetization risk in PM machines[J]. IEEE Transactions on Industry Applications, 2019, 55(4): 3490-3500. [16] Wu Lijian, Du Yidong, Chen Zekai, et al.Influence of load characteristics on three-phase short circuit and demagnetization of surface-mounted PM synchronous motor[J]. IEEE Transactions on Industry Applications, 2020, 56(3): 2427-2440. [17] Du Yidong, Wu Lijian, Zhan Haolan, et al.Influence of dimensional parameters on three-phase short circuit and demagnetization in surface-mounted PM machines[J]. IEEE Transactions on Energy Con-version, 2021, 36(3): 2514-2523. [18] 刘铄, 宋俊材, 陆思良, 等. 基于灰度纹理特征提取和CS-SNN的双初级永磁同步直线电机退磁故障诊断研究[J]. 中国电机工程学报, 2023, 43(16): 6464-6474. Liu Shuo, Song Juncai, Lu Siliang, et al.Demag-netization fault diagnosis research of DPPMSLM based on gray texture feature extraction and CS-SNN[J]. Proceedings of the CSEE, 2023, 43(16): 6464-6474. [19] 王玉彬, 林洋. 基于电磁热双向耦合的内置式永磁同步电机温度场等效模型及温度场分析[J/OL]. 电工技术学报, 2025: 1-12. (2025-03-06). https://link.cnki.net/doi/10.19595/j.cnki.1000-6753.tces.241947. Wang Yubin, Lin Yang. Equivalent model of temperature field and temperature field analysis of interior permanent magnet synchronous motor based on electromagnetic-thermal bidirectional coupling[J/OL]. Transactions of China Electrotechnical Society, 2025: 1-12. (2025-03-06). https://link.cnki.net/doi/10.19595/j.cnki.1000-6753.tces.241947. [20] 丁石川, 何旺, 杭俊, 等. 基于径向气隙磁通密度和定子电流的永磁同步电机均匀退磁故障诊断研究[J]. 中国电机工程学报, 2024, 44(1): 332-341. Ding Shichuan, He Wang, Hang Jun, et al.Uniform demagnetization fault diagnosis for PMSM based on radial air-gap flux density and stator current[J]. Proceedings of the CSEE, 2024, 44(1): 332-341. [21] He Wang, Hang Jun, Ding Shichuan, et al.Robust diagnosis of partial demagnetization fault in PMSMs using radial air-gap flux density under complex working conditions[J]. IEEE Transactions on Indu-strial Electronics, 2024, 71(10): 12001-12010. [22] Metwly M Y, Ahmed M, Hemeida A, et al.Investigation of six-phase surface permanent magnet machine with typical slot/pole combinations for integrated onboard chargers through methodical design optimization[J]. IEEE Transactions on Transportation Electrification, 2023, 9(1): 866-885. [23] Naderi P, Fathi A.Fault diagnosis/separation of surface mounted permanent magnet synchronous machine by current and its homopolar orders analysis[J]. IEEE Transactions on Energy Conversion, 2023, 38(2): 1246-1256. [24] Zaky M S, Khater M M, Shokralla S S, et al.Wide-speed-range estimation with online parameter identification schemes of sensorless induction motor drives[J]. IEEE Transactions on Industrial Electronics, 2009, 56(5): 1699-1707. [25] Wang Huimin, Ge Xinglai, Liu Yongchao.Second-order sliding-mode MRAS observer-based sensorless vector control of linear induction motor drives for medium-low speed maglev applications[J]. IEEE Transactions on Industrial Electronics, 2018, 65(12): 9938-9952.