Adaptive unknown input observer approach for aircraft actuator fault detection and isolation

International Journal of Adaptive Control and Signal Processing

Volumn 21, Issue 1, 2007, Pages 31-48

  Wang, Dan ^a   Lum, Kai Yew ^b  

^a DALIAN MARITIME UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Adaptive estimation; Fault detection and isolation; Fault tolerant control; Unknown input observer

Indexed keywords

ACTUATORS; ADAPTIVE ALGORITHMS; AIRCRAFT; FEEDBACK CONTROL; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SIGNAL PROCESSING;

ADAPTIVE ESTIMATION; FAULT DETECTION; FAULT ISOLATION; FAULT TOLERANT CONTROLS; UNKNOWN INPUT OBSERVERS;

ADAPTIVE CONTROL SYSTEMS;

EID: 33847113278     PISSN: 08906327     EISSN: 10991115     Source Type: Journal    
DOI: 10.1002/acs.936     Document Type: Article

References (18)

1. Chen J, Patton RJ. Robust Model-based Fault Diagnosis for Dynamic Systems. Kluwer Academic Publishers: Boston, 1999.
2. Frank PM, Ding X. Survey of robust residual generation and evaluation methods in observer-based fault detection systems. Journal of Process Control 1997; 7(6):403-424.
3. Johansen TA, Foss BA. Multiple model approaches to modeling and control. International Journal of Control 1999; 72(7/8):575.
4. Fisher KA, Maybeck PS. Multiple model adaptive estimation with filter spawning. IEEE Transactions on Aerospace and Electronic Systems 2002; 38(3):755-768.
5. Boskovic JD, Mehra RK. A robust adaptive reconfigurable flight control scheme for accommodation of control effector failures. Journal of Guidance, Control, and Dynamics 2002; 25(4):712-724.
6. Zhang Y, Li XR. Detection and diagnosis of sensor and actuator failures using IMM estimator. IEEE Transactions on Aerospace and Electronic Systems 1998; 34(4): 1293-1313.
7. Bhagwat A, Srinivasan R, Krishnaswamy PR. Multi-linear model-based fault detection during process transitions. Chemical Engineering Science 2003; 58(9): 1649-1670.
8. Berec L. A multi-model method to fault detection and diagnosis: Bayesian solution. An introductory treatise. International Journal of Adaptive Control and Signal Processing 1998; 12:81-92.
9. Loparo AK, Buchner MR, Vasudeva KS. Leak detection in an experimental heat exchanger process: a multiple model approach. IEEE Transactions on Automatic Control 1991; 36(2):167-177.
10. Wolfram A, Fussel D, Brune T, Isermann R. Component-based multi-model approach for fault detection and diagnosis of a centrifugal pump. Proceedings of the American Control Conference, vol. 6, Arlington, VA, U.S.A., 2001; 4443-4448.
11. Balle P, Spreitzer K. A multi-model approach for detection and isolation of sensor and process faults for a heat exchanger. Proceedings of WCCI Fuzzy-IEEE Conference, Anchorage, U.S.A., 1998.
12. Menke TE, Maybeck PS. Sensor/Actuator failure detection in the Vista F-16 by multiple model adaptive estimation, IEEE Transactions on Aerospace and Electronic Systems 1995; 31(4):1218-1229.
13. Zhang Y, Jiang J. Integrated active fault-tolerant control using IMM approach. IEEE Transactions on Aerospace and Electronic Systems 2001; 37(4):1221-1235.
14. Zhang Y, Jiang J. Active fault-tolerant control system against partial actuator failures. IEE Proceedings - Control Theory Applications 2002; 149(1):95-104.
15. Chen J, Patton RJ, Zhang H. Design of unknown input observers and robust fault detection filters. International Journal of Control 1996; 63(1):85-105.
16. Loria A. Explicit convergence rates for MRAC-type systems. Automatica 2004; 40:1465-1468.
17. Narendra KS, Balakrishnan J. Adaptive control using multiple models IEEE Transactions on Automatic Control 1997; 42(2):171-187.
18. Lao F, Wang J, Yang G. Reliable robust flight tracking control: an LMI approach. IEEE Transactions on Control Systems Technology 2002; 10(1):76-89.