Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-05T07:55:06.832Z Has data issue: false hasContentIssue false
  • English
  • Français

Integrated sensor/actuator FDI and reconfigurable control for fault-tolerant flight control system design

Published online by Cambridge University Press:  04 July 2016

Ch. M. Hajiyevt  and
F. Caliskan
Ch. M. Hajiyevt
Affiliation:
Istanbul Technical UniversityAeronautical Engineering, Ayazaga, Istanbul, Turkey
F. Caliskan
Affiliation:
Istanbul Technical UniversityElectrical Engineering, Ayazaga , Istanbul, Turkey
Get access Rights & Permissions [Opens in a new window]

Abstract

In this paper an approach to fault-tolerant flight control system design based on the integration of sensor/actuator fault detection and isolation (FDI) and reconfigurable control is presented. The effects of the sensor and actuator faults in the innovation process of the Kalman filter are investigated, and a decision approach to isolate the sensor and actuator faults is proposed.

The reconfigurable control algorithm based on the Extended Kalman Filter (EKF) is presented. The control reconfiguration procedure is executed by considering the identified control distribution matrix. In the simulations, the longitudinal dynamics of an aircraft control system are considered, and control reconfiguration is examined. In the paper, the principal block diagram of a fault tolerant aircraft control system is offered.

Type
Research Article
Information
The Aeronautical Journal , Volume 105 , Issue 1051 , September 2001 , pp. 525 - 533
Copyright
Copyright © Royal Aeronautical Society 2001 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. McLean, D. and Aslam-Mir, S. Reconfigurable flight control systems, Proceedings of the International Conference on Control 1991, Edinburgh, March 1991, pp 234–242.Google Scholar
2. Patton, R.J. Fault tolerant control: The 1997 situation, IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 1997, Hull, 1997, pp 1033–1055.Google Scholar
3. Huber, R.R. and McCulloch, B. Self repairing flight control system. Society of Automotive Engineers Inc Aerospace Congress Exposition, 1984, pp 477–496.Google Scholar
4. Rattan, K.S. Reconfiguration of flight control systems after effector failure, Proceedings Fourth International Conference on System Engineering, Coventry Polytechnic, 1985.Google Scholar
5. Caglayan, A.K., Rahnamai, K. and Allen, S.M. Detection, identification and estimation of surface damage/actuator failure for high performance aircraft, Proceedings of the American Control Conference (ACC), Atlanta USA, 1988, pp 2206–2212.Google Scholar
6. Ioannou, P. and Rooney, R. Surface failure detection and evaluation of control law for reconfiguration of flight control system, Proceedings AIAA Guidance and Navigation Control Congress, Boston MA, 1989, pp 733–740.Google Scholar
7. Virk, G.S. and Tahir, J.M. A fault tolerant optimal flight control system, Proceedings of the International Conference on Control 1991, Edinburgh, March 1991, pp 1049–1055.Google Scholar
8. Napolitano, M.R. and Swaim, R.L. New technique for aircraft flight control reconfiguration, J Guid Con and Dyn, 1991, 14, (1), pp 184–190.Google Scholar
9. Gopinathan, M., Boskovic, J.D., Mehra, R.K. and Rago, C. A multiple model predictive scheme for fault-tolerant flight control design, Proceedings of 37th IEEE Conference on Decision and Control, Tampa, Florida, USA, December 1998. pp 1376–1381.Google Scholar
10. Rago, C, Prasanth, R., Mehra, R.K. and Fortenhaugh, R. Failure detection and identification and fault tolerant control using the IMM-KF with applications to the Eagle-Eye UAV, Proceedings of 37th IEEE Conference on Decision and Control, Tampa, Florida, USA, December, 1998. pp 4208–4213.Google Scholar
11. Mehra, R.K. and Peschon, J. An innovations approach to fault detection and diagnosis in dynamic systems, Automatica, 1971, 7, pp 637–640.Google Scholar
12. Gadzhiev (Hajiyev), Ch.M. Dynamic systems diagnosis based on Kalman filter updating sequences. Automation and Remote Control, 1992, 1, pp 147–150.Google Scholar
13. Gadzhiev (Hajiyev), Ch.M. Check of the generalised variance of the Kalman filter updating sequence in dynamic diagnosis, Automation and Remote Control, 1994, 55, (8), pp 1165–1169.Google Scholar
14. Willsky, A.S. A survey of design methods for failure detection in dynamic systems, Automatica, 1976, 12, (6), pp 601–611.Google Scholar
15. Caliskan, F. Insensitivity features of Doyle-Stein observers and robust Kalman filters, IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes. SAFEPROCESS 1997, Hull. 1997,pp 891–896.Google Scholar
16. Hajiyev, Ch. and Caliskan, F. Sensor/actuator fault diagnosis based on statistical analysis of innovation sequence and Robust Kalman Filtering, Aerospace Science and Technology, 2000, 4, pp 415–422.Google Scholar
17. Hajiyev, Ch. M. and Caliskan, F. Fault diagnosis in dynamic systems via Kalman filter innovation sequence, IFAC 14th World Congress, Beijing, China, 1999, pp 499–504.Google Scholar
18. Mclean, D. Automatic Flight Control Systems, Prentice Hall International (UK), 1990.Google Scholar
19. Vepa, R. and Caliskan, F. Application of observers to monitoring, failure detection and fault diagnosis in aircraft flight control, Proceedings of the IMechE J of Aerospace Engineering, 1995, 209, pp 65–73.Google Scholar
20. Caliskan, F. and Hajiyev, Ch.M. EKF based surface fault detection and reconfiguration in aircraft control systems, Proceedings of American Control Conference. Chicago, Illinois, 2000, pp 1220–1224.Google Scholar
21. Hajiyev, Ch.M. The information provide of offshore platform supervision and control, Elm, Baku, 1996 (in Russian).Google Scholar
22. Hajiyev, Ch.M. and Caliskan, F. Fault tolerant aircraft control system based on Kalman filtering, 2nd Ankara International Aerospace Conference (AIA 1998), Ankara, Turkey, 1998, pp 220–227.Google Scholar
23. Caliskan, F. and Hajiyev, Ch.M. Innovation sequence application to aircraft sensor fault detection: comparison of checking covariance matrix algorithms, ISA Transactions, 2000, 39, pp 47–56.Google Scholar
24. Menke, T.E. and Maybeck, P.S. Sensor/actuator failure detection in the vista F-16 by multiple model adaptive estimation, IEEE Transactions on Aerospace and Electronic Systems, 1995, 31, (4), pp 1218–1228.Google Scholar
25. Schlee, F.H., Standish, C.L. and Toda, N.F. Divergence in the Kalman Filter, AIAA J, June 1967, 5, pp 1114–1120.Google Scholar