Geodesic
Demagnetization fault detection in permanent magnet synchronous motors based on sliding observer
He, Jing1 ; Zhang, Changfan2 ; Mao, Songan3 ; Wu, Han2 ; Zhao, Kaihui2
1 School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, Hunan, China;School of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, 410073, Hunan, China
2 School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, Hunan, China
3 School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, U. S. A.
Journal of nonlinear sciences and its applications, Tome 9 (2016) no. 5, p. 2039-2048.

Voir la notice de l'article provenant de la source International Scientific Research Publications

This paper considers a robust multiple fault detection method for actuator failures in nonlinear systems. The actuator failures model is initially put forward. By employing the unique advantage that the sliding mode variable structure is invariance to uncertainties, a sliding mode state observer is designed to isolate the unknown input disturbance effect on residual generation. The parameters of the observers being designed are determined by the use of linear matrix inequalities techniques. Accordingly, the generated residual is only sensitive to the specific fault signals, and the fault detection accuracy is improved. This paper verifies the proposed method by its application in demagnetization fault detection for a permanent magnet synchronous motor (PMSM). Simulation and experiment results illustrate the high detection accuracy and robustness.
DOI : 10.22436/jnsa.009.05.10
Classification : 49J15, 34C99
Keywords: Fault detection, sliding mode variable structure, state observer, residual, permanent magnet synchronous motor.

He, Jing 1 ; Zhang, Changfan 2 ; Mao, Songan 3 ; Wu, Han 2 ; Zhao, Kaihui 2

1 School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, Hunan, China;School of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, 410073, Hunan, China
2 School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, Hunan, China
3 School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, U. S. A. 
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He, Jing; Zhang, Changfan; Mao, Songan; Wu, Han; Zhao, Kaihui. Demagnetization fault detection in permanent magnet synchronous motors based on sliding observer. Journal of nonlinear sciences and its applications, Tome 9 (2016) no. 5, p. 2039-2048. doi : 10.22436/jnsa.009.05.10. http://geodesic.mathdoc.fr/articles/10.22436/jnsa.009.05.10/

[1] Chen, J.; Patton, R. J. Robust Model-based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers, Boston, 1999

[2] Edwards, C.; S. K. Spurgeon Slide mode control theory and application, Taylor & Francis, London, 1998

[3] Edwards, C.; Spurgeon, S. K.; Patton, R. J. Sliding mode observers for fault detection and isolation, Automatica, Volume 36 (2000), pp. 541-553

[4] Frank, P. M.; Ding, X. Survey of robust residual generation and evaluation methods in observer-based fault detection systems, J. Proc. Control, Volume 7 (1997), pp. 403-424

[5] Gritli, Y.; Rossi, C.; Casadei, D.; Zarri, L.; F. Filippetti Demagnetizations diagnosis for permanent magnet synchronous motors based on advanced wavelet analysis, 20th Inter. Conf. Elect. Mach. (ICEM), IEEE (2012), pp. 2397-2403

[6] Hu, Z. K.; Sun, Y.; Jiang, B.; He, J.; Zhang, C. F. An optimal unknown input observer based fault diagnosis method, Acta Automat. Sinica, Volume 39 (2013), pp. 1225-1230

[7] Hwang, I.; Kim, S.; Kim, Y.; Seah, C. E.; Hwang, I.; Kim, S.; Y. Kim A survey of fault detection, isolation, and reconfiguration methods, IEEE Trans. Control Sys. Tech., Volume 18 (2010), pp. 636-653

[8] Koshkouei, A. J.; Zinober, A. S. Sliding mode state observation for non-linear systems, Int. J. Control, Volume 77 (2004), pp. 118-127

[9] Lian, K. Y.; Chiang, C. H.; Tu, H. W. LMI-based sensorless control of permanent-magnet synchronous motors, IEEE T. Ind. Electron., Volume 54 (2007), pp. 2769-2778

[10] Liu, X. Z.; Yuan, S. Reduced-order fault detection filter design for switched nonlinear systems with time delay , Nonlinear Dynam., Volume 67 (2012), pp. 601-617

[11] Lu, X. M.; Iyer, K. L. V.; Mukherjee, K.; N. C. Kar Study and detection of demagnetization in line start permanent magnet synchronous machines using artificial neural network , 15th Inter. Conf. Elect. Mach. Syst. (ICEMS), IEEE (2012), pp. 1-6

[12] A. Sabanovic Variable structure systems with sliding modes in motion control-A survey, IEEE T. Ind. Inform., Volume 7 (2011), pp. 212-223

[13] Vinson, G.; Combacau, M.; Prado, T.; Ribot, P. Permanent magnets synchronous machines faults detection and identification, 38th Annual Conf. IEEE Ind. Electron. Soc. (IECON), IEEE (2012), pp. 3925-3930

[14] Xiao, X.; Zhang, M.; Y. D. Li On-line estimation of permanent-magnet flux linkage ripple for PMSM, Proc. CSEE, Volume 27 (2007), pp. 43-47

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