A statistical method for the detection of sensor abrupt faults in aircraft control systems

IEEE Transactions on Control Systems Technology

Volumn 16, Issue 4, 2008, Pages 789-798

  Samara, Paraskevi A ^a,b   Fouskitakis, George N ^a,c   Sakallariou, John S ^a   Fassois, Spilios D ^a  

^a UNIVERSITY OF PATRAS   (Greece)

^b Frigoglass SAIC ^*  (Greece)

^c TECHNOLOGICAL EDUCATIONAL INSTITUTE OF CRETE   (Greece)

Author keywords

Aircraft control systems; Angle of attack sensor; Fault diagnosis; Sensor abrupt faults; Statistical methods

Indexed keywords

AIRCRAFT; AIRCRAFT MODELS; CONTROL SYSTEMS; DECISION MAKING; DETECTORS; FISH; GAME THEORY; MANAGEMENT SCIENCE; PROBLEM SOLVING; RANDOM PROCESSES; SENSORS; STATISTICAL METHODS; STATISTICS; SYSTEMS ENGINEERING; THEOREM PROVING; TIME SERIES ANALYSIS;

(+ MOD 2N) OPERATION; (I ,J) CONDITIONS; AIRCRAFT CONTROL SYSTEMS; AIRCRAFT DYNAMICS MODELS; AIRCRAFT SENSORS; ANGLE OF ATTACK (AOA); AUTOREGRESSIVE (MAR) MODELING; COMMERCIAL AIRCRAFT; HARDWARE REDUNDANCY; MONTE CARLO EXPERIMENTS; NON-STATIONARITY; OPERATING CONDITIONS; RANDOM EFFECTS; SIGNAL WHITENING; SIMULATION ENVIRONMENTS; SINGLE SENSORS; STATISTICAL DECISION; SYSTEM SAFETY; TEST CASES; TIME CONSTANTS (TC); TIME SERIES;

FLIGHT CONTROL SYSTEMS;

EID: 46849098186     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2007.903109     Document Type: Article

References (27)

1. C. Hajiyev and F. Caliskan, "Sensor/actuator fault diagnosis based on statistical analysis of innovation sequence and robust Kalman filtering," Aerosp. Sci. Technol., vol. 4, pp. 415-422, 2000.
2. F. Caliskan and C. Hajiyev, "Innovation sequence application to aircraft sensor fault detection: Comparison of checking covariance matrix algorithms," ISA Trans., vol. 39, pp. 47-56, 2000.
3. T. E. Menke and P. S. Maybeck, "Sensor/actuator failure detection in the Vista F-16 by multiple model adaptive estimation," IEEE Trans. Aerosp. Electron. Syst., vol. 31, no. 4, pp. 1218-1228, Oct. 1995.
4. Y. Zhang and X. R. Li, "Detection and diagnosis of sensor and actuator failures using IMM estimator," IEEE Trans. Aerosp. Electron. Syst. vol. 34, no. 4, pp. 1293-1312, Oct. 1998.
5. A. Zolghadri, "A redundancy-based strategy for safety management in a modern civil aircraft," Control Eng. Practice, vol. 8, pp. 545-554, 2000.
6. J. D. Boškovic and R. K. Mehra, "Multiple-model adaptive flight control scheme for accommodation of actuator failures," J. Guidance, Control, Dyn., vol. 25, no. 4, pp. 712-724, 2002.
7. X. Zhang, T. Parisini, and M. M. Polycarpou, "Sensor bias fault isolation in a class of nonlinear systems," IEEE Trans. Autom. Control, vol. 50, no. 3, pp. 370-376, Mar. 2005.
8. A. Marcos, S. Ganguli, and G. J. Balas, "An application of H∞ fault detection and isolation to a transport aircraft," Control Eng. Practice, vol. 13, pp. 105-119, 2005.
9. M. Mattei, G. Paviglianiti, and V. Scordamaglia, "Nonlinear observers with H∞ performance for sensor fault detection and isolation: A linear matrix inequality design procedure," Control Eng. Practice vol. 13, pp. 1271-1281, 2005.
10. F. Amato, C. Cosentino, M. Mattei, and G. Paviglianiti, "A direct/ functional redundancy scheme for fault detection and isolation on an aircraft," Aerosp. Sci. Technol., vol. 10, pp. 338-345, 2006.
11. D. L. Mattern, L. C. Jaw, T.-H. Guo, R. Graham, and W. McCoy, "Using neural networks for sensor validation," presented at the 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conf. Exhibit, Cleveland, OH, 1998, AIAA 98-3547.
12. M. R. Napolitano, G. Silvestri, D. A. Windon, J. L. Casanova, and M. Innocenti, "Sensor validation using hardware-based on-line learning neural network," IEEE Trans. Aerosp. Electron. Syst., vol. 34, no. 2, pp. 456-468, Apr. 1998.
13. M. R. Napolitano, Y. An, and B. A. Seanor, "A fault tolerant flight control system for sensor and actuator failures using neural networks," Aircraft Des., vol. 3, pp. 103-128, 2000.
14. C. Latorre and B. Tranchero, "Neural network based virtual sensors in flight control systems," in Proc. 15th IFAC Symp. Autom. Control Aerosp., Bologna, Italy, 2001, pp. 416-421.
15. M. R. Napolitano, D. A.Windon, J. L. Casanova, and M. Innocenti, "A comparison between Kalman filter and neural network approaches for sensor validation," presented at the AIAA Guid., Navigation Control Conf., San Diego, CA, 1996, Paper AIAA 96-3894.
16. O. M. Golan, M. Idan, and R. Meir, "Weak model based approach for fault detection and isolation of sensors in flight control systems," presented at the AIAA Guid., Navigation, Control Conf., Denver, CO, 2000, Paper AIAA 2000-4040.
17. M. Oosterom and R. Babuska, "Virtual sensor for fault detection and isolation in flight control systems - Fuzzy modeling approach," in Proc. 39th IEEE Conf. Dec. Control, Sydney, Australia, Dec. 2000, pp. 2645-2650.
18. M. Basseville and I. V. Nikiforov, Detection of Abrupt Changes: Theory and Application. Englewood Cliffs, NJ: Prentice-Hall, 1993.
19. J. S. Sakellariou, K. A. Petsounis, and S. D. Fassois, "On board fault detection and identification in railway vehicle suspensions via a functional model based method," in Proc. Int. Conf. Noise Vibration Eng., Leuven, Belgium, 2002, pp. 1323-1332.
20. F. P. Kopsaftopoulos and S. D. Fassois, "Identification of stochastic systems under multiple operating conditions: The vector dependent FP-ARX parametrization," presented at the 14th Mediterranean Conf. Control Autom., Ancona, Italy, 2006, Paper 1700807.
21. D. G. Dimogianopoulos, J. D. Hios, and S. D. Fassois, "Statistical fault detection and identification in aircraft systems via functionally pooled nonlinear modelling of flight data dependencies," presented at the 25th Int. Congress Aeronautical Sci., Hamburg, Germany, 2006, Paper ICAS 2006-6.2.4.
22. U. Ciniglio and L. Verse, "ADFCS bare aircraft simulation tools: Model description and user manual," Centro Italiano Ricerche Aerospaziali, Italy, Tech. Rep. CIRA-TR-98-112, 1999.
23. U. Ciniglio and L. Verse, "ADFCS Fly-by-Wire architecture simulation model: User manual," Centro Italiano Ricerche Aerospaziali, Italy, Tech. Rep. CIRA-TR-SIV-99-099, 1999.
24. R. Ben Mrad, S. D. Fassois, J. A. Levitt, and B. I. Bachrach, "Onboard prediction of power consumption in automobile active suspension systems - Parts I and II," J. Mech. Syst. Signal Process., vol. 10, pp. 135-169, 1996.
25. G. E. P. Box, G. M. Jenkins, and G. C. Reinsel, Time Series Analysis: Forecasting and Control, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1994.
26. E. R. Dougherty, Probability and Statistics for the Engineering, Computing and Physical Sciences. Englewood Cliffs, NJ: Prentice-Hall, 1990.
27. K. Rosenberg, "Sensor characteristics and fault scenarios," BAE Systems, Rochester, U.K., Tech. Rep. TN-SG-5640105, 2001.