Demagnetization fault detection in permanent magnet synchronous motors based on sliding observer
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Authors
Jing He
- 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.
Changfan Zhang
- School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, Hunan, China.
Songan Mao
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, U. S. A..
Han Wu
- School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, Hunan, China.
Kaihui Zhao
- School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, 412007, Hunan, China.
Abstract
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.
Share and Cite
ISRP Style
Jing He, Changfan Zhang, Songan Mao, Han Wu, Kaihui Zhao, Demagnetization fault detection in permanent magnet synchronous motors based on sliding observer, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 5, 2039--2048
AMA Style
He Jing, Zhang Changfan, Mao Songan, Wu Han, Zhao Kaihui, Demagnetization fault detection in permanent magnet synchronous motors based on sliding observer. J. Nonlinear Sci. Appl. (2016); 9(5):2039--2048
Chicago/Turabian Style
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 Applications, 9, no. 5 (2016): 2039--2048
Keywords
- Fault detection
- sliding mode variable structure
- state observer
- residual
- permanent magnet synchronous motor.
MSC
References
-
[1]
J. Chen, R. J. Patton, Robust Model-based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers, Boston (1999)
-
[2]
C. Edwards, S. K. Spurgeon , Slide mode control theory and application, Taylor & Francis, London (1998)
-
[3]
C. Edwards, S. K. Spurgeon, R. J. Patton, Sliding mode observers for fault detection and isolation, Automatica, 36 (2000), 541-553.
-
[4]
P. M. Frank, X. Ding, Survey of robust residual generation and evaluation methods in observer-based fault detection systems, J. Proc. Control, 7 (1997), 403-424.
-
[5]
Y. Gritli, C. Rossi, D. Casadei, L. Zarri, F. Filippetti , Demagnetizations diagnosis for permanent magnet synchronous motors based on advanced wavelet analysis, 20th Inter. Conf. Elect. Mach. (ICEM), IEEE, (2012), 2397-2403.
-
[6]
Z. K. Hu, Y. Sun, B. Jiang, J. He, C. F. Zhang, An optimal unknown input observer based fault diagnosis method, Acta Automat. Sinica, 39 (2013), 1225-1230.
-
[7]
I. Hwang, S. Kim, Y. Kim, C. E. Seah, I. Hwang, S. Kim, Y. Kim , A survey of fault detection, isolation, and reconfiguration methods, IEEE Trans. Control Sys. Tech., 18 (2010), 636-653.
-
[8]
A. J. Koshkouei, A. S. Zinober, Sliding mode state observation for non-linear systems, Int. J. Control, 77 (2004), 118-127.
-
[9]
K. Y. Lian, C. H. Chiang, H. W. Tu, LMI-based sensorless control of permanent-magnet synchronous motors, IEEE T. Ind. Electron., 54 (2007), 2769-2778.
-
[10]
X. Z. Liu, S. Yuan, Reduced-order fault detection filter design for switched nonlinear systems with time delay , Nonlinear Dynam., 67 (2012), 601-617.
-
[11]
X. M. Lu, K. L. V. Iyer, K. Mukherjee, 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), 1-6.
-
[12]
A. Sabanovic , Variable structure systems with sliding modes in motion control-A survey, IEEE T. Ind. Inform., 7 (2011), 212-223.
-
[13]
G. Vinson, M. Combacau, T. Prado, P. Ribot, Permanent magnets synchronous machines faults detection and identification, 38th Annual Conf. IEEE Ind. Electron. Soc. (IECON), IEEE, (2012), 3925-3930.
-
[14]
X. Xiao, M. Zhang, Y. D. Li , On-line estimation of permanent-magnet flux linkage ripple for PMSM, Proc. CSEE, 27 (2007), 43-47.