Experimental validation of a real-time model-based sensor fault detection and isolation system for unmanned ground vehicles

14th Mediterranean Conference on Control and Automation, MED'06

Volumn , Issue , 2006, Pages

  Monteriù, Andrea ^a,b   Asthana, Prateek ^a   Valavanis, Kimon ^a   Longhi, Sauro ^b  

^a University of South Florida   (United States)

^b UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FAULT DETECTION AND ISOLATION (FDI); INERTIAL MEASUREMENT UNIT (IMU); UNMANNED GROUND VEHICLES;

FAULT DETECTION; GLOBAL POSITIONING SYSTEM; KALMAN FILTERS; MOBILE ROBOTS; REAL TIME CONTROL; SENSORS;

UNMANNED VEHICLES;

EID: 35948995031     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MED.2006.328690     Document Type: Conference Paper

References (31)

1. J. Chen, R. J. Patton, and H. Zhang, "Design of unknown input observers and robust fault detection filters," International journal control, vol. 63, no. 1, pp. 85-105, 1996.
2. R. J. Patton and J. Chen, "A review of parity space approaches to fault diagnosis," in IFAC Safeprocess symposium, Baden-Baden, 1991.
3. R. Isermann, Experiences with process fault detection methods via parameter estimation. System fault diagnostics reliability and related knowledge-based approaches. 1987, pp. 35-98.
4. _, Process fault diagnosis bases on dynamic models and parameter estimation methods. Englewood Cliffs, N.J.: Prentice Hall, 1989, ch. 7.
5. P. M. Frank, Fault diagnosis in dynamic systems via state estimation: a survey. System fault diagnostics reliability and related knowledge-based approaches, 1987, ch. 1.
6. R. Isermann, "Supervision, fault-detection and fault-diagnosis methods an introduction," Control Engineering Practice, vol. 5, no. 5, pp. 639-652, 1997.
7. P. M. Frank, "Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results," Automatica, vol. 26, no. 3, pp. 459-474, 1990.
8. R. J. Patton, P. M. Frank, and R. N. Clark, Eds., Issues of fault diagnosis for dynamic systems. New York: Springer-Verlag, May 2000.
9. E. Y. Chow and A. S. Willsky, "Issues in the development of a general design algorithm for reliable failure detection," in, Proc. 19-th IEEE Conf. Decis. and Contr., Albuquerque, 1980, pp. 1006-1012.
10. M. Blanke, V. Cocquempot, R. I. Zamanabadi, and M. Staroswiecki, "Residual generation for the ship benchmark using structural approach," in Proc. of International Conference On CONTROL'98, Swansea, UK, Sep 1998.
11. M. Staroswiecki and P. Declerck, "Analytical redundancy in non linear interconnected systems by means of structural analysis," IFAC Advanced Information Processing in Automatic Control, 1989.
12. P. Declerck and M. Staroswiecki, "Characterization of the canonical components of a structural graph for fault detection in large scale industrial plants," ECC91, pp. 298-303, 1991.
13. M. Blanke, M. Kinnaert, J. Lunze, and M. Staroswiecki, Diagnosis and Fault-Tolerant Control, ser. Heidelberg. Springer-Verlag, 2003.
14. M. Blanke, H. Niemann, and T. Lorentzeon, "Structural analysis - a case study of the Rømer satellite," in Proc of IFAC Safeprocess 2003, Washington, DC, USA, 2003.
15. A. Monteriù, "Fault-tolerant methods for sensor fusion," Master's thesis, Università Politecnica delle Marche, Aneona, Italy - Technical University of Denmark, Kongens Lyngby, Denmark, 2003.
16. L. Trave-Massuy'es, T. Escobet, and R. Milne, Model-based diagnosability and sensor placement. application to a frame 6 gas turbine subsystem. DX01 twelfth, international workshop on principals of diagnosis, 2001, pp. 205-212.
17. M. Basseville and I. V. Nikiforov, Detection of Abrupt Changes: Theory and Application. Englewood Cliffs, N.J.: Prentice-Hall, Inc., Apr 1993.
18. F. Gustafsson, "The: marginalized likelihood ratio test for detecting abrupt changes," IEEE trans. on Automatic Control, Vol. 41, no. 1, pp. 66-78, 1996.
19. V. Kadirkamanathan, P. Li, M. Jaward, and S. Fabri, "Particle filtering-based fault detection in non-linear stochastic systems," International Journal of Systems Science, Vol. 33, no. 4, pp. 259-265, March 2002.
20. E. Punskaya, C. Andrieu, A. Doucet, and W. J. Fitzgerald, "Bayesian curve fitting with applications to signal segmentation," IEEE trans. on Signal Processing, vol. 50, no. 3, pp. 747-758, 2002.
21. J. Y. Tourneret, M. Doisy, and M. Lavielle, "Bayesian retrospective detection of multiple changepoints corrupted by multiplicative noise. application to sar image edge detection," IEEE trans. on Signal Processing, vol. 83, no. 9, pp. 1871-1887, September 2003.
22. H. Laurent and C. Doncarli, "Stationarity index for abrupt changes detection in the time-frequency plane," IEEE Signal Processing Letters, vol. 5, no. 2, pp. 43-45, February 1998.
23. M. Crouse, R. Nowak, and R. Baraniuk, "Wavelet-based statistical signal processing using hidden markov models," IEEE trans. On Signal Processing, vol. 46, no. 4, pp. 886-902, April 1998.
24. E. Hitti and M. F. Lucas, "Wavelet-packet basis selection for abrupt changes detection in multicomponent signals," EUSIPCO-98, September 1998.
25. J. A. Earrell and M. Barth, The Global Positioning System & Inertial Navigation. McGraw-Hill, 1998.
26. J. Borenstein, H. R. Everett, L. Feng, S. W. Lee, and R. H. Byrne, "Where am i? sensors and methods, for mobile robot positioning," The University of Michigan, Tech. Rep., 1996.
27. M. Long, "Creating. a distributed field robot architecture for multiple robots," Master's thesis, University of South Florida, November 2004.
28. [Online]. Available: http://www.xbow.com/index.aspx
29. [Online]. Available: http://www.garmin.com/manuals/GPS17N. GPS16_17NSeriesTechnicalSpecification.pdf
30. R. Murphy, Intro to AI Robotics. MIT Press, 2000.
31. M. Long, A. Gage, R. Murphy, and K. Valavanis, "Application of the distributed field robot architecture to a simulated demining task," IEEE International Conference on Robotics and Automation (ICRA), 2005.