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http://dx.doi.org/10.5302/J.ICROS.2014.13.0017

Fault Detection and Isolation for the Inverter of BLDC Motor Drive using EKF  

Kim, SunKi (School of Mechatronics, Korea University of Technology and Education)
Seong, SangMan (School of Mechatronics, Korea University of Technology and Education)
Kang, Kiho (School of Mechatronics, Korea University of Technology and Education)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.20, no.7, 2014 , pp. 706-712 More about this Journal
Abstract
The inverters used to drive Brushless DC motors (BLDC) include switching devices such as FETs and the faults in FETs cause severe performance degradation in systems where a BLDC acts as actuator. This paper presents a fault detection and isolation method for the FETs of an inverter for BLDC motor control systems, which is based on the EKF (Extended Kalman filter). Firstly, an equivalent circuit model for a BLDC motor plus its inverter system was derived. Secondly, a state-space equation was established, where the on-resistance of the FETs is expressed as a state variable and the EKF equation estimates the on-resistance. If the estimated resistance differs greatly from the known value, it can be asserted that there is a fault on that FET. Thirdly, the local convergence of the established EKF was proved. Finally, through the experiments, the performance of the proposed method was verified. The results show that the on-resistance is estimated close to the value specified in the FET data sheet in normal operation, whereas the estimated resistance is a much larger value than the normal one in case an FET fault occurs. Therefore, it is confirmed that the proposed fault detection and isolation method works appropriately in real systems.
Keywords
BLDC motor; EKF; fault detection; fault isolation; on-resistance;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 J. Klima, "Analytical investigation of an induction motor drive under inverter fault mode operations," IEE Proceedings-Electric Power Applications, vol. 150, no. 3, pp. 255-262, 2003.   DOI
2 K. H. Kim and D. K. Bae, "Fault diagnosis based on real-time data of the inverter system for BLDCM drive," Journal of Korean Institute of Illuminating and Electrical Installation Engineers (in Korean), vol. 12, no. 2, pp. 29-37, 1998.   과학기술학회마을
3 S. H. Kim, DC, AC, BLDC Motor Control (in Korean), BOGDOO, pp. 426-439, 2011.
4 R. Krishnan, Permanent Magnet Synchronous and Brushless DC Motor Drives, CRC Press, pp. 457-463, 2009.
5 J. W. Dixon, "Simplified sensorless control for BLDC motor, using DSP technology," EVS19, pp. 1435-1436, 2002.
6 D. J. Simon, Optimal State Estimation - Kalman, H infinity, and Nonlinear Approaches, John & Wiley, 2006.
7 A. Bazzi, A. Dominguez-Garcia, and P. Krein, "A method for impact assessment of faults on the performance of Field-oriented control drives: A first step to reliability modeling," in Applied Power Electronics Conference and Exposition (APEC), 2010 Twenty-Fifth Annual IEEE, pp. 256-263, Feb. 2010.
8 D. Torres, Sensorless BLDC Control with Back-EMF Filtering Using a Majority Function, Microchip, AN1160, pp. 2-4, 2009.
9 R. Peuget, S. Courtine, and J. P. Rognon, "Fault detection and isolation on a PWM inverter by knowledge-based model," IEEE Trans. on Industry Applications, vol. 34, no. 6, pp. 1318-1326, 1998   DOI   ScienceOn
10 Y. S. Jeong, S. K. Sul, S. Schulz, and N. Patel, "Fault detection and fault-tolerant control of interior permanent-magnet motor drive system for electric vehicle," IEEE Transactions on Industry Applications, vol. 41, no. 1, pp. 46-51, 2005.   DOI
11 S. G. Ahn, B. G. Park, R. Y. Kim, and D. S. Hyun, "Fault diagnosis scheme for open-phase fault of permanent magnet synchronous motor drive using extended Kalman filter," The Transactions of Korean Institute of Power Electronics (in Korean), vol. 16, no. 2, pp. 191-198, 2011.   과학기술학회마을   DOI   ScienceOn
12 K. Reif, S. Gunther, E. Yaz, and R. Unbehauen, "Stochastic stability of the discrete time extended kalman filter," IEEE Trans. on Automatic Control, vol. 44, no. 4, pp. 714-728, Apr. 1999.   DOI   ScienceOn
13 J. J. Lee, H. C. Lee, and J. Y. J, "Model-based fault detection and isolation for electric power steering system," KSAE, pp. 2207-2208, 2007.
14 J. J. Delhotal, "Observer-based Fault Detection and Isolation for Motor Drive Inverters," pp. 9-31, 2011.