Abstract
Aircraft are one of the most complex vehicles especially when compared with other moving objects. As the motions of aircraft are three-dimensional and the gusty environment in which they fly generates disturbance forces, the control of such vehicles is difficult and requires complicated control systems. For ensuring a safe and successful flight, which includes take off, trimmed flight, flight maneuvering, and landing, most commercial and military aircraft are controlled by automatic flight control systems (AFCSs). In aircraft, such control systems employ multi-loop feedback to achieve several benefits (McLean, 1990):
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ahmed-Zaid, F., Ioannou, P., Gousman, K. and Rooney, R. (1991). Accommodation of failures in the F16 aircraft using adaptive control, IEEE Control Systems Magazine, January: 73–78.
Anderson, T. and Lee, P.A. (1981). Fault Tolerance Principles and Practice, Prentice-Hall.
Ashkenazi, A. and Bryson, A.E. (1982). Control logic for parameter insensitivity and disturbance attenuation, Journal of Guidance, Control and Dynamics, July–Aug.: 383–388.
Basseville, M. and Benveniste, A. (Eds.), (1986). Detection of Abrupt Changes in Signals and Dynamics Systems. LNCIS No.77, Springer, Berlin.
Basseville, M. (1988). Detecting changes in signals and systems: A survey. Automatica, 24, No. 3:508–516.
Beard, R.V. (1971). Failure accommodation in linear systems through self-organization. PhD Thesis, Man Vehicle Lab., Cambridge, MA.
Boullart, L, Krijgsman, A., and Vingerhoeds, R.A. (Eds) (1992). Application of Artificial Intelligence in Process Control, Pergamon Press, Oxford.
Brumback, B.D. and Srinath, M.D. (1987). A fault tolerant multi-sensor navigation system design. IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-23, No. 6: 738–755.
Caglayan, A.K., Rahnamai, K. and Allen, S.M. (1988). Detection, Identification and Estimation of Surface Damage/Actuator Failure for High Performance Aircraft. Proc. on the American Control Conference (ACC), Atlanta USA: 2206–2212.
Chen J. and Patton R.J., (1999). Robust Model-Based Fault Diagnosis for Dynamic Systems. Kluwer Academic Publishers.
Eide P. and Maybeck P.S. (1996). An MMAE failure detection system for the F-16. IEEE Transactions on Aerospace and Electronic Systems, Vol. 32, No.3: 1125–1134.
Frank, P.M. (1987). Fault diagnosis in dynamic systems via state estimation—A survey. In: System Fault Diagnostics, reliability and Related Knowledge-based Approaches (S. Tzafestas, M. Singh, and G. Schmidt Eds.), 1: 35–98. Reidel, Dordrecht.
Frank, P.M. (1990). Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy. A survey and some new results, Automatica, 26, No.3: 459–474.
Gadzhiev (Hajiyev), Ch. M. (1992). Dynamic systems diagnosis based on Kalman filter updating sequences. Automation and Remote Control, No.l: 147–150.
Gadzhiev (Hajiyev), Ch. M. (1994). Check of the generalized variance of the Kalman filter updating sequence in dynamic diagnosis. Automation and Remote Control, Vol. 55, No.8: 1165–1169.
Gertler, J.J. (1998). Fault Detection and Diagnosis in Engineering Systems. Marcel Dekker Inc.
Gertler, J.J. (1988). Survey of model based failure detection and isolation in complex plants. IEEE Control Systems Magazine, Dec: 3–11.
Gopinathan, M., Boskovic, J.D., Mehra, R.K. and Rago, C. (1998). A Multiple Model Predictive Scheme for Fault-Tolerant Flight Control Design. Proc. on the 37th IEEE Conference on Decision & Control, Tampa, Florida USA: 1376–1381.
Gupta, M.M. and Yamakawa, T. (Eds.) (1988). Fuzzy Logic in Knowledge Based Systems, Decision and Control. Elsevier Science Publishers B.V.
Himmelblau, D.M. (1978). Fault Detection and Diagnosis in Chemical and Petrochemical Processes. Chemical Eng. Monograph 8, Elsevier.
Howell W.E., W.T. Bundick, R.M. Hueschen, and A.J. Ostroff (1983). Restructurable Controls for Aircraft. AIAA Guidance and Control Conference, August, Gatlinburg: 646–653.
Huber, R.R. and McCulloch, B. (1984). Self-repairing flight control system, Society of Automotive Engineers Inc. Aerospace Congress Exposition: 477–496.
Ioannou, P. and Rooney, R. (1989). Surface failure detection and evaluation of control law reconfiguration of flight control system. AIAA Guidance & Navigation Control Conf., Boston MA: 733–740.
Isermann, R. (1984). Process fault detection based on modelling and estimation methods, A Survey, Automatica, 20: 387–404.
Johnson, R. (1992). Elementary Statistics. 6th ed. — PWS — KENT Publishing Company, Boston.
Jones, H.L. (1973). Failure Detection in Linear Systems. PhD Thesis, Dept. of Aeronautics and Astronautics, September, MIT, Cambridge, MA.
Looze D.P., Weiss, J.L., Eterno, J.S. and Barret, N.M. (1985). An automatic redesign approach for restructurable control systems. IEEE Control Systems Magazine, May: 16–22.
Magill D.T. (1965). Optimal adaptive estimation of sampled stochastic processes. IEEE Transactions on Automatic Control, AC10, No.4: 434–439.
McLean D. (1990). Automatic Flight Control Systems. Prentice Hall, UK.
McLean D. and Aslam-Mir S. (1991). Reconfigurable flight control systems. International Conference on Contro1’91, 1,25–28 March: 234–242.
Mehra R.K. and Peschon, J. (1971). An innovations approach to fault detection and diagnosis in dynamic systems. Automatica, 7: 637–640.
Menke, T.E. and Maybeck, P.S. (1995). Sensor/actuator failure detection in the vista F-16 by multiple model adaptive estimation. IEEE Transactions on Aerospace and Electronic Systems, Vol. 31, No.4: 1218–1228.
Miyazawa Y. (1992). Robust flight control system design with multiple model approach. J. Guidance, 151, No.3: 785–788.
Moerder, D.D. and Halyo, N. (1989). Application of precomputed control laws in a reconfigurable aircraft flight control system. J. Guidance, 12, No.3: 325–333.
Montoya, R.J., Howell, W.E., Bundick, W.T., Ostroff, A.J., Hueschen R.M. and Beicastro, C.M., ed. (1982). Restructurable controls, NASA CP 2277. Proceedings of a workshop held at NASA Langley Research Centrel, Hampton, Virginia.
Napolitano, M.R. and Swaim, R.L. (1991). New technique for aircraft flight control reconfiguration, J. Guidance, 14, No.1: 184–190.
National Transportation Safety Board (1979). Aircraft Accident Report; American Airlines, Inc. DC10, Chicago O’Hare Int. Airport, NTSB-AAR-79-17, May: 23–24 and 54–55.
Nelson, V.P. (1990). Fault-tolerant computing: Fundamental concepts, IEEE Computer, July: 19–25.
Ochi, Y. and Kanai, K. (1991). Design of restructurable flight control systems using feedback linearization. J. Guidance 14, No.5: 903–911.
Patton, R.J., Frank, P.M. and Clark, R.N., ed. (1989). Fault Diagnosis in Dynamic Systems, Prentice Hall.
Patton, R.J. (1997). Fault tolerant control: The 1997 situation, IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS’97, Hull, UK: 1033–1055.
Peng, Y., Youssouf, A., Arte, Ph. and Kinnaert, M. (1997). A complete procedure for residual generation and evaluation with application to a heat exchanger. IEEE Transactions on Control Systems Technology, Vol. 5, No. 6: 542–554.
Rago, C, Prasanth, R., Mehra, R.K. and Fortenbaugh, R. (1998). Failure Detection and Identification and Fault Tolerant Control using the IMM-KF with applications to the Eagle-Eye UAV. Proc. on the 37th IEEE Conference on Decision & Control, Tampa, Florida USA, December: 4208–4213.
Rattan, K.S. (1985a). Evaluation of control-mixer concept for reconfiguration of flight control systems. NAECON1, 2: 560–569.
Rattan, K.S. (1985b). Reconfiguration of flight control systems after effector failure. Proc. of Fourth International Conference on Systems Engineering, Coventry Polytechnic.
Riggins, R.N. and Ribbens, W.B. (1997). Designed inputs for detection and isolation of failures in the state transition matrices of dynamic systems. IEEE Transactions on Control Systems Technology, Vol. 5, No.2: 143–162.
Robinson, A.C. (1985). Totally robust control—A new concept for design of flight control systems. AIAA, August: 85–1974.
Rubertus, D.P. (1983). Self-repairing flight control systems overview. IEEE National Aero & Elec. Conference, May: 1280–1286.
Russ, D.E. (1983). Reconfigurable digital control laws for the 7D digitac II aircraft with failed primary control surface. Proc. of Workshop on Multivariable Control Systems.
Sastry, S. and Bodson, M. (1989). Adaptive Control. Prentice Hall, New Jersey.
Schlee, F.H., Standish, C.L. and Toda, N.F. (1967). Divergence in the Kalman Filter.AIAA J.,V.5: 1114–1120.
Solodovnikov, V.V., ed. (1990). Automatic Design of Automatic Control Systems. Moscow, Masinostroveniye (in Russian).
Tahir, J.M., (1991). Parallel Processing for Fault Tolerant Aircraft Control. PhD thesis, University of Sheffield.
Vepa, R. and Caliskan, F. (1991).Application of observers to monitoring, failure detection and fault diagnosis in aircraft flight control, Proc. of the IMechE, Journal of Aerospace Engineering, 1995,V.209: 65–73.
Virk, G.S. and Tahir, J.M. (1991). A Fault Tolerant Optimal Flight Control System. Proc. on the International Conference on Control’ 91, Edinburgh, March: 1049–1055.
Willsky, A.S. (1976). A survey of design methods for failure detection systems. Automatica, 12:601–611.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media New York
About this chapter
Cite this chapter
Hajiyev, C., Caliskan, F. (2003). Introduction. In: Fault Diagnosis and Reconfiguration in Flight Control Systems. Cooperative Systems, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9166-9_1
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9166-9_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4818-4
Online ISBN: 978-1-4419-9166-9
eBook Packages: Springer Book Archive