中国电气工程学报(英文) ›› 2021, Vol. 7 ›› Issue (3): 124-135.doi: 10.23919/CJEE.2021.000031

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  • 收稿日期:2021-04-30 修回日期:2021-06-08 接受日期:2021-08-06 出版日期:2021-09-25 发布日期:2021-09-17

An Open-circuit Fault Diagnosis Method for PMSM Drives Using Symmetrical and DC Components*

Wentao Huang1, Jiachen Du1, Wei Hua2, Qigao Fan1,*   

  1. 1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;
    2. School of Electrical Engineering, Southeast University, Nanjing 201196, China
  • Received:2021-04-30 Revised:2021-06-08 Accepted:2021-08-06 Online:2021-09-25 Published:2021-09-17
  • Contact: * E-mail: qgfan@jiangnan.edu.cn
  • About author:Wentao Huang received the Ph.D. degree in Electrical Engineering from Southeast University, Nanjing, China, in 2020. From January 2018 to January 2019, he was a joint-supervised Ph.D. student with the School of Electrical and Data Engineering, University of Technology Sydney, NSW, Australia.Since 2020, he has been with Jiangnan University, Wuxi, China, where he is currently a Lecturer with the School of Internet of Things Engineering. His major research interests include permanent magnet machine drives, fault diagnosis and fault-tolerant control.
    Jiachen Du received the B.Sc. degree in 2020 from the School of Internet of Things Engineering, Jiangnan University, Wuxi, China, where he is currently working toward the M.Sc. degree in Energy and Power Engineering.His research interests include permanent magnet synchronous motor drive and fault diagnosis.
    Wei Hua (M’03-SM’16) received B.Sc. and Ph.D. degrees both in Electrical Engineering from the School of Electrical Engineering, Southeast University, Nanjing, China, in 2001 and 2007, respectively. During 2004.9-2005.8, he visited the Department of Electronics and Electrical Engineering, The University of Sheffield, UK, as a joint-supervised Ph. D. student. Since 2007, he has been with Southeast University, where he is currently a Chief Professor with the School of Electrical Engineering. He is the author or co-author of over 140 technical papers, and he is the holder of 60 patents in his areas of interest. His teaching and research interests include the design, analysis, and control of electrical machines.
    Qigao Fan received the Ph.D. degree in Mechatronic Engineering from the School of Mechatronic Engineering, China University of Mining Technology, Xuzhou, China, in 2013. Since 2013, he has been with Jiangnan University, Wuxi, China, where he is currently an Associate Professor with the School of Internet of Things Engineering. From September 2018 to September 2019, he was a Visiting Scholar with the Department of Mechanical and Industrial Engineering, University of Toronto. His teaching and research interests include motor control, robotics, intelligent sensors, and IoT technology.
  • Supported by:
    * Six Talent Peaks Project in Jiangsu Province (GDZB-138), and by the Fundamental Research Funds for Central Universities (JUSRP121020).

Abstract: In this paper, a diagnostic method based on symmetrical and DC components is presented for multiple open-circuit faults (OCFs) in a three-phase permanent magnet synchronous motor drive. The remaining phase currents under faulty situations are theoretically analyzed based on the Fourier series method and the mechanism of torque generation. To evaluate the asymmetry and discriminate fault types, the magnitude ratio of the positive sequence to the negative sequence of phase currents is designed as a fault detection index. Thereafter, the DC components of the phase currents in different reference frames are utilized to locate faults. Specifically, the polarities of the DC contents in the natural reference frame are utilized to locate a single OCF and two OCFs in different legs. Two OCFs in the same leg are diagnosed by evaluating the signs of the phase currents in the dq reference frame with a negative rotating direction. The simulated and experimental results validate the effectiveness of the developed method in fault detection and robustness against operating point and motor parameter variations.

Key words: Permanent magnet synchronous motor, open-circuit fault, fault diagnosis, symmetrical component