Detection of Demagnetization Fault in Interior Permanent Magnet Synchronous Motors for EV Based on UKF

Abstract:

In most applications, the permanent magnet flux linkage of interior permanent magnet synchronous motors is treated as a known constant value. However, high operation temperature, stator winding starting current impulsion, armature reaction and frequent field weakening control all may cause irreversible demagnetization of permanent magnet which has direct impacts on motor control performance. In order to implement demagnetization fault detection accurately, the nonlinear observation model is first set up allowing for the effects of magnetic saturation and cross saturation of IPMSM, and then the unscented Kalman filter (UKF) , based on dynamic data processing technology, is presented to implement flux linkage estimation and overcome the disadvantages of traditional extended Kalman filter (EKF). Finally, the simulation results are presented to verify the effectiveness of the proposed method, it is pointed that this method can estimate the permanent magnet flux linkage with the estimation error less than 3% in the full speed range of IPMSM, so it is fully competent for demagnetization fault detection, and consequently, can also prevent the deterioration of demagnetization and improve the reliability of drive system.

• Periodical: Applied Mechanics and Materials (Volumes 716-717)
• Pages: 854-859
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.716-717.854
• Online since: December 2014
• Authors: Tao Chen*
• Keywords: Demagnetization Fault, Electric Vehicle (EV), Flux Estimation, IPMSM, UKF

References

[1] Yang Li-yong, Zhang Yun-long, Chen Zhi-gang, et al. On-line adaptive control of PMSM current-loop based on parameter identification[J]. Journal of Electronic Measurement and Instrument, 2012, 27(3) : 86-91.

[2] LI Hong-mei, CHEN Tao, YAO Hong-yang. Mechanism, Diagnosis and Development of Demagnetization Fault for PMSM in Electric Vehicle[J]. Transactions of China Electrotechnical Society, 2013, 28(8): 276-284.

[3] Resero. J, Cusido. J et al. Study on the permanent magnet demagnetization fault in permanent magnet synchronous machines[C]. 32nd Annual Conference on IEEE Industrial Electronics. 2006: 879-884.

DOI: 10.1109/iecon.2006.347598

[4] Casadei. D, Filippetti. F et al. Magnets fault characterization for permanent magnet synchronous motors[J]. IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2009: 1-6.

DOI: 10.1109/demped.2009.5292770

[5] Rosero. J, Romeral. L et al. Demagnetization fault detection by means of Hilbert-Huang transforms of the stator current decomposition in PMSM[C]. IEEE International Symposium on Industrial Electronics. 2008: 172-177.

DOI: 10.1109/isie.2008.4677217

[6] Espinosa A. G, Rosero. J et al. Fault detection by means of Hilbert-Huang Transform of the stator current in a PMSM with demagnetization[C]. IEEE Transaction on Energy Conversion. 2010, 25(2): 312-318.

DOI: 10.1109/tec.2009.2037922

[7] Ruiz J.R. R, Rosero J. A et al. Detection of demagnetization faults in permanent magnet synchronous motors under non-stationary condition[J]. IEEE Transactions on Magnetics, 2009, 45(7): 2961-2969.

DOI: 10.1109/tmag.2009.2015942

[8] AN Qun-tao, SUN L, ZHAO Kai. An adaptive on-line identification method for the parameters of permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2008, 23(6): 31-6.

[9] Yang Li-yong, Zhang Yun-long, Chen Zhi-gang, et al. On-line adaptive control of PMSM current-loop based on parameter identification[J]. Journal of Electronic Measurement and Instrument, 2012, 27(3) : 86-91.

[10] XIAO Xi, ZHANG Meng, LI Yong-dong. On-line estimation of permanent magnet flux linkage ripple for PMSM based on Kalman filter[C]. 32nd Annual Conference on IEEE Industrial Electronics, 2006: 1171-1175.

DOI: 10.1109/iecon.2006.347875

[11] XIAO Xi, ZHANG Meng, LI Yong-dong. On-line estimation of permanent-magnet flux linkage ripple for PMSM[J]. Proceedings of the CSEE, 2007, 27(24): 43-47.

[12] XIAO Xi, CHEN Chang-ming, ZHANG Meng. Dynamic permanent magnet flux estimation of permanent magnet synchronous machines[J]. IEEE Transactions on Applied Superconductivity, 2010, 20(30): 1085-1088.

DOI: 10.1109/tasc.2010.2041435

[13] Jung Kyunghoon, Kim Jaeyong, Kim Jungmin. Positioning accuracy improvement of laser navigation using UKF and FIS[J]. Robotics and Autonomous System, 2014, 62(9): 1241-1247.

DOI: 10.1016/j.robot.2014.03.016