Demagnetization Diagnosis In Multi-Phase PMSM Machine By Advanced MCSA Technique

Khadim Moin Siddiqui*, S. Chatterji **
* Department of Electrical Engineering, Babu Banarsi Das National Institute of Technology and Management, Lucknow, India.
** Department of Electrical Engineering, NITTTR, Chandigarh, India.
Periodicity:April - June'2019
DOI : https://doi.org/10.26634/jee.12.4.15758

Abstract

In the present time, the multi-phase motor especially five phase Permanent Magnet Synchronous Motor (PMSM) machines are being popular and used in many industrial applications with efficient performance. The main features of this machine are its reliability and excellent dynamic performance. Due to these features, this permanent magnet motor is widely being used in automotive or high power traction systems. However, the possibility of failures during motor operation cannot be denied and further it leads to large revenue losses for industries. In PMSM machines, diagnosis of magnetic demagnetization has been a challenging task for many researchers since last decade. Thus, condition monitoring of this motor for magnetic demagnetization is very essential. Therefore, in this research paper, the magnetic demagnetization of the motor has been diagnosed precisely in the early stages by the advanced Motor Current Signature Analysis (MCSA) technique.

Keywords

Permanent Magnet Synchronous Motor (PMSM); Pulse Width Modulation; Demagnetization; Time Domain Analysis; Time-Frequency Domain Analysis; Wavelet Transform; High Frequency Band Detailed Signal, Motor Current Signature Analysis.

How to Cite this Article?

Siddiqui, K., M., Chatterji , S. (2019). Demagnetization Diagnosis In Multi-Phase PMSM Machine By Advanced MCSA Technique. i-manager’s Journal on Electrical Engineering, 12(4), 37-45. https://doi.org/10.26634/jee.12.4.15758

References

[1]. Demetriades, G. D., de la Parra, H. Z., Andersson, E., & Olsson, H. (2010). A Real-Time thermal model of a permanent-magnet synchronous motor. IEEE Transactions on Power Electronics, 25(2), 463-474. https://doi.org/10.1 109/TPEL.2009.2027905
[2]. Ding, X., Bhattacharya, M., & Mi, C. (2010). Simplified thermal model of PM motors in hybrid vehicle applications taking into account eddy current loss in magnets. Journal of Asian Electric Vehicles, 8(1), 1337-1343. https://doi.org/ 10.4130/jaev.8.1337
[3]. El-Refaie, A. M., Harris, N. C., Jahns, T. M., & Rahman, K. M. (2004). Thermal analysis of multibarrier interior PM synchronous machine using lumped parameter model. IEEE Transactions on Energy Conversion, 19(2), 303-309. https://doi.org/10.1109/TEC.2004.827011
[4]. Feng, G., Lai, C., & Kar, N. C. (2017). Particle-filter-based magnet flux linkage estimation for PMSM magnet condition monitoring using harmonics in machine speed. IEEE Transactions on Industrial Informatics, 13(3), 1280- 1290. https://doi.org/10.1109/TII.2016.2616331
[5]. Feng, G., Lai, C., Tjong, J., & Kar, N. C. (2018). Noninvasive kalman filter based permanent magnet temperature estimation for permanent magnet synchronous machines. IEEE Transactions on Power Electronics, 33(12), 10673-10682. https://doi.org/10.1109/ TPEL.2018.2808323
[6]. Fu, W. N., & Ho, S. L. (2010). Dynamic demagnetization computation of permanent magnet motors using finite element method with normal magnetization curves. IEEE Transactions on Applied Super conductivity, 20(3), 851-855. https://doi.org/10.1109/TASC.2009.2039787
[7]. Lai, C., Iyer, K. L. V., Mukherjee, K., & Kar, N. C. (2015). Analysis of electromagnetic torque and effective winding inductance in a surface-mounted PMSM during integrated battery charging operation. IEEE Transactions on Magnetics, 51(11), 1-4. https://doi.org/10.1109/ TMAG.2015.2432738
[8]. Liu, K., & Zhu, Z. Q. (2015). Mechanical parameter estimation of permanent-magnet synchronous machines with aiding from estimation of rotor PM flux linkage. IEEE Transactions on Industry Applications, 51(4), 3115-3125. https://doi.org/10.1109/TIA.2015.2399615
[9]. Liu, S., Mohammed, O. A., & Liu, Z. (2007). An improved FE-based phase variable model of PM synchronous machines including dynamic core losses. IEEE Transactions on Magnetics, 43(4), 1801-1804. https://doi.org/10.11 09/TMAG.2006.892296
[10]. Morimoto, S., Sanada, M., & Takeda, Y. (1994). Widespeed operation of interior permanent magnet synchronous motors with high-performance current regulator. IEEE Transactions on Industry Applications, 30(4), 920-926. https://doi.org/10.1109/28.297908
[11]. Qiao, W., & Lu, D. (2015). A survey on wind turbine condition monitoring and fault diagnosis—Part I: Components and subsystems. IEEE Transactions on Industrial Electronics, 62 (10), 6536-6545. https://doi.org/10.1109/TIE.2015.2422112
[12]. Ruoho, S., Kolehmainen, J., Ikaheimo, J., & Arkkio, A. (2010). Interdependence of demagnetization, loading, and temperature rise in a permanent-magnet synchronous motor. IEEE Transactions on Magnetics, 46, 949-953. https://doi.org/10.1109/TMAG.2009.2033592
[13]. Sarikhani, A., & Mohammed, O. (2012, September). Real-time demagnetization assessment of PM synchronous machine. In 2012 XXth International Conference on Electrical Machines (pp. 2418-2424). IEEE. https://doi.org/10.1109/ICElMach.2012.6350222
[14]. Siddiqui, K. M., & Chatterji, S. (2018). Early, Demagnetization assessment of PMSM machine by discrete wavelet transform. i-manager's Journal on Circuits & Systems, 6(4), 16. https://doi.org/10.26634/jcir.6.4.15214
[15]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2014). Health monitoring and fault diagnosis in induction motor-a review, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(1), 6549- 6565.
[16]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2017). modeling and open phase fault analysis in three and five phase permanent magnet synchronous motor machine. imanager's Journal on Instrumentation & Control Engineering, 5(4), 32. https://doi.org/10.26634/jic.5. 4.13843
[17]. Siddiqui, K. M., Upadhyay, S. K., Singh, S., Srivastava, R. K., & Babu, R. (2017). Performance and analysis of PWM inverter fed 3-phase PMSM drive. i-manager's Journal on Electronics Engineering, 8(1), 9. https://doi.org/10.26634/ jele.8.1.13835
[18]. Simani, S., Farsoni, S., & Castaldi, P. (2015). Fault diagnosis of a wind turbine benchmark via identified fuzzy models. IEEE Transactions on Industrial Electronics, 6(62), 3775-3782. https://doi.org/10.1109% 2FTIE.2014.2364548
[19]. Sudhoff, S. D., Corzine, K. A., & Hegner, H. J. (1995). A flux-weakening strategy for current-regulated surfacemounted permanent-magnet machine drives. IEEE Transactions on Energy Conversion, 10(3), 431-437. https://doi.org/10.1109/60.464865
[20]. Wang, J., Wang, W., Atallah, K., & Howe, D. (2008). Demagnetization assessment for three-phase tubular brushless permanent-magnet machines. IEEE Transactions on Magnetics, 44(9), 2195-2203. https://doi.org/10.1109/T MAG.2008.2001074
[21]. Zhu, M., Hu, W., & Kar, N. C. (2017a). Acoustic noise-based uniform permanent-magnet demagnetization detection in SPMSM for high-performance PMSM drive. IEEE Transactions on Transportation Electrification, 4(1), 303- 313. https://doi.org/10.1109/TTE.2017.2755549
[22]. Zhu, M., Hu, W., & Kar, N.C. (2017b). Torque-ripple-based interior permanent-magnet synchronous machine rotor demagnetization fault detection and current regulation. IEEE Transactions on Industry Applications, 53(3), 2795-2804. https://doi.org/10.1109/ TIA.2016.2634518
[23]. Zhu, M., Hu, W., Mukundan, S., & Kar, N. C. (2018, April). Multi-Sensor fusion based permanet magnet demagnetization detection in permanet magnet synchrounous machines. In 2018 IEEE International Magnetics Conference (INTERMAG) (pp. 1-2). IEEE. https://doi.org/10.1109/INTMAG.2018.8508853
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