Detection of satellite attitude sensor faults using the UKF

IEEE Transactions on Aerospace and Electronic Systems

Volumn 43, Issue 2, 2007, Pages 480-491

  Xiong, K ^a   Chan, C W ^a   Zhang, H Y ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ATTITUDE CONTROL; COMMUNICATION SATELLITES; FAULT DETECTION; GAUSSIAN DISTRIBUTION; NONLINEAR SYSTEMS; STATISTICAL METHODS;

SATELLITE ATTITUDE; UNSCENTED KALMAN FILTER;

KALMAN FILTERS;

EID: 34548155462     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2007.4285348     Document Type: Article

References (24)

1. Dixon, W. E., Walker, I. D., Dawson, D. M., and Hartranft, J. P. Fault detection for robot manipulators with parametric uncertainty: A prediction-error-based approach. IEEE Transactions on Robotics and Automation, 16, 6 (2000), 689-699.
2. Li, P., and Kadirkamanathan, V. Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems. IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Reviews, 31, 3 (2001), 337-343.
3. Sauter, D., and Hamelin, F. Frequency-domain optimization for robust fault detection and isolation in dynamic systems. IEEE Transactions on Automatic Control, 44, 4 (1999), 878-882.
4. Del Gobbo, D., Napolitano, M., Famouri, P., and Innocenti, M. Experimental application of extended Kalman filtering for sensor validation. IEEE Transactions on Control System Technology, 9 2 (2001), 376-380.
5. Kadirkamanathan, V., Li, P., Jaward, M. H., and Fabri, S. G. A sequential Monte Carlo filter approach to fault detection and isolation in nonlinear systems. In Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, 2000, 4341-4346.
6. Julier, S., Uhlmann, J., and Durrant-Whyte, H. F. A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Transactions on Automatic Control, 45, 3 (2000), 477-482.
7. Ristic, B., Farina, A., Benvenuti, D., and Arulampalam, M. S. Performance bounds and comparison of nonlinear filters for tracking a ballistic object on re-entry. IEE Proceedings - Radar Sonar Navigation, 150, 2 (2003), 65-70.
8. Julier, S. J., Uhlmann, J. K., and Durrant-Whyte, H. F. A new approach for filtering nonlinear system. In Proceedings of the American Control Conference, Washington, D.C., 1995, 1628-1632.
9. Hall, D. L., and Llinas, J. Handbook of Multisensor Data Fusion. Boca Raton, FL: CRC Press, 2001.
10. Wan, E. A., and van der Merwe, R. The unscented Kalman filter for nonlinear estimation, adaptive systems for signal processing. In Communications and Control Symposium, 2000, 153-158.
11. Boutayeb, M., Rafaralahy, H., and Darouach, M. Convergence analysis of the extended Kalman filter used as an observer for nonlinear deterministic discrete-time systems. IEEE Transactions on Automatic Control, 42, 4 (1997), 581-586.
12. Benveniste, A., Basseville, M., and Moustakides, G. V. The asymptotic local approach to change detection and model validation. IEEE Transactions on Automatic Control, 32, 7 (1987), 583-592.
13. Zhang, Q., Basseville, M., and Benveniste, A. Fault detection and isolation in nonlinear dynamic systems: A combined input-output and local approach. Automatica, 34, 11 (1998), 1359-1373.
14. Zhang, Q., Basseville, M., and Benveniste, A. Early warning of slight changes in system. Automatic, 30, 1 (1994), 95-115.
15. Georgiou, T. T., and Smith, M. C. Robustness analysis of nonlinear feedback systems: An input-output approach. IEEE Transactions on Automatic Control, 42, 9 (1997), 1200-1221.
16. Julier, S. J. The scaled unscented transformation. In Proceedings of American Control Conference, Anchorage, AK, 2002, 4555-4559.
17. Boutayeb, M., and Aubry, D. A strong tracking extended Kalman Observer for nonlinear discrete-time systems. IEEE Transactions on Automatic Control, 44, 8 (1999), 1550-1556.
18. Yu, S. X., and Shi, J. Segmentation given partial grouping constraints. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 2 (2004), 173-183.
19. Wang, Y., Chan, C. W., and Cheung, K. C. On-line fault diagnosis based on b-spline neural networks using asymptotic local approach. Asian Journal of Control, 3, 1 (2001), 73-78.
20. Jing, Yang Attitude determination, positioning and fault diagnosis of GPS. Ph.D. dissertation, Beihang University, 2002.
21. Chowdhury, F. N., Christensen, J. P., and Aravena, J. L. Power system fault detection and state estimation using Kalman filter with hypothesis testing. IEEE Transactions on Power Delivery, 6, 3 (1991), 1025-1030.
22. Redinbo, G. R. Decoding real-number convolutional codes: Change detection, Kalman estimation. IEEE Transaction on Information Theory 43, 6 (1997), 1864-1876.
23. Huang, B. Detection of abrupt changes of total least squares models and application in fault detection. IEEE Transactions on Control Systems Technology, 9, 2 (2001), 357-367.
24. Xiong, K., Zhang, H. Y., and Chan, C. W. Performance evaluation of UKF-based nonlinear filtering. Automatica, 42 (2006), 261-270.