Smart Structures and Systems

  • 제29권6호
  • /
  • Pages.785-790
  • /
  • 2022
  • /
  • 1738-1584(pISSN)
  • /
  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Fault detection and classification of permanent magnet synchronous machine using signal injection

  • Kim, Inhwan (Department of Mechanical engineering, Konkuk University) ;
  • Lee, Younghun (Department of Mechanical engineering, Konkuk University) ;
  • Oh, Jaewook (Department of Mechanical engineering, Konkuk University) ;
  • Kim, Namsu (Department of Mechanical engineering, Konkuk University)
  • 투고 : 2021.10.31
  • 심사 : 2022.04.26
  • 발행 : 2022.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

Condition monitoring of permanent magnet synchronous motors (PMSMs) and detecting faults such as eccentricity and demagnetization are essential for ensuring system reliability. Motor current signal analysis is the most commonly used precursor for detecting faults in the PMSM drive system. However, the current signature responds sensitively to the load and temperature of the motor, thereby making it difficult to monitor faults in real- applications. Therefore, in this study, a condition monitoring methodology that detects motor faults, including their classification with standstill conditions, is proposed. The objective is to detect and classify faults of PMSMs by using programmable inverter without additional sensors and systems for detection. Both DC and AC were applied through the d-axis of a three-phase motor, and the change in incremental inductance was investigated to detect and classify faults. Simulation with finite element analysis and experiments were performed on PMSMs in healthy conditions as well as with eccentricity and demagnetization faults. Based on the results obtained from experiments, the proposed method was confirmed to detect and classify types of faults, including their severity.

키워드

과제정보

This paper was written as part of Konkuk University's research support program for its faculty on sabbatical leave in 2020.

참고문헌

  1. Bianchi, N. and Jahns, T.M. (2004), Design, Analysis and Control of Interior PM Synchronous Machines, CLEUP, Seattle, USA.
  2. Chai, F., Li, Y., Liang, P. and Pei, Y. (2016), "Calculation of the maximum mechanical stress on the rotor of interior permanent-magnet synchronous motors", IEEE Trans. Indus. Electron., 63(6), 3420-3432. https://doi.org/10.1109/TIE.2016.2524410.
  3. Espinosa, A.G., Rosero, J.A., Cusido, J., Romeral, L. and Ortega, J.A. (2010), "Fault detection by means of hilbert-huang transform of the stator current in a PMSM with demagnetization", IEEE Trans. Energy Convers., 25(2). 312-318. https://doi.org/10.1109/TEC.2009.2037922.
  4. Fasil, M., Antaloae, N., Mijatovic, N., Jensen, B.B. and Holboll, J. (2016), "Improved $ dq $-axes model of PMSM considering airgap flux harmonics and saturation", IEEE Trans. Appl. Superconduct., 26(4), 1-5. https://doi.org/10.1109/TASC.2016.2524021.
  5. Haddad, R.Z. and Strangas, E.G. (2016), "On the accuracy of fault detection and separation in permanent magnet synchronous machines using MCSA/MVSA and LDA", IEEE Trans. Energy Convers., 31(3), 924-934. https://doi.org/10.1109/TEC.2016.2558183.
  6. Hong, J., Park, S., Hyun, D., Kang, T.J., Lee, S.B., Kral, C. and Haumer, A. (2012), "Detection and classification of rotor demagnetization and eccentricity faults for PM synchronous motors", IEEE Trans. Indus. Appl., 48(3), 923-932. https://doi.org/10.1109/TIA.2012.2191253.
  7. Kioumarsi, A., Moallem, M. and Fahimi, B. (2006), "Mitigation of torque ripple in interior permanent mmagnet motors by optimal shape design", IEEE Trans. Magnet., 42(11), 3706-3711. https://doi.org/10.1109/TMAG.2006.881093.
  8. Le Roux, W., Harley, R.G. and Habetler, T.G. (2007), "Detecting rotor faults in low power permanent magnet synchronous Machines", IEEE Trans. Power Electron., 22(1), 322-328. https://doi.org/10.1109/TPEL.2006.886620.
  9. Lee, S.B., Yang, J., Hong, J., Yoo, J.Y., Kim, B., Lee, K., … & Nandi, S. (2011), "A new strategy for condition monitoring of adjustable speed induction machine drive systems", IEEE Trans. Power Electron., 26(2), 389-398. https://doi.org/10.1109/TPEL.2010.2062200.
  10. Liu, X., Chen, H., Zhao, J. and Belahcen, A. (2016), "Research on the performances and parameters of interior PMSM used for electric vehicles", IEEE Trans. Indus. Electron., 63(6), 3533-3545. https://doi.org/10.1109/TIE.2016.2524415.
  11. Nandi, S., Ahmed, S. and Toliyat, H.A. (2001), "Detection of rotor slot and other eccentricity related harmonics in a three-phase induction motor with different rotor cages", IEEE Trans. Energy Convers., 16(3), 253-260. https://doi.org/10.1109/60.937205.
  12. Rajagopalan, S., Aller, J.M., Restrepo, J.A., Habetler, T.G. and Harley, R.G. (2006), "Detection of rotor faults in brushless DC motors operating under nonstationary conditions", IEEE Trans. Indus. Appl., 42(6), 1464-1477. https://doi.org/10.1109/TIA.2006.882613.
  13. Rosero, J., Cusido, J., Ortega, J.A., Garcia, A. and Romeral, L. (2007), "On-line condition monitoring technique for PMSM operated with eccentricity", 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, September.
  14. Soong, W.L. and Ertugrul, N. (2002), "Field-weakening performance of interior permanent-magnet motors", IEEE Trans. Indus. Appl., 38(5), 1251-1258. https://doi.org/10.1109/TIA.2002.803013.
  15. Wang, S. and Li, H. (2021), "Analysis of electromagnetic vibration of permanent magnet synchronous motor under static and dynamic eccentricity fault", 2021 6th International Conference on Control and Robotics Engineering (ICCRE), April.
  16. Wardach, M., Paplicki, P. and Palka, R. (2018), "A hybrid excited machine with flux barriers and magnetic bridges", Energies, 11(3), 676. https://doi.org/10.3390/en11030676.
  17. Wu, L., Huang, X., Habetler, T.G. and Harley, R.G. (2007), "Eliminating load oscillation effects for rotor eccentricity detection in closed-loop drive-connected induction motors", IEEE Trans. Power Electron., 22(4), 1543-1551. https://doi.org/10.1109/TPEL.2007.900542.