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Reconfigurable dynamic control allocation for aircraft with actuator failures

Published online by Cambridge University Press:  09 March 2017

S. H. Almutairi  and
N. Aouf
S. H. Almutairi*
Affiliation:
Cranfield University, Aerospace Engineering, Shrivenham, UK
N. Aouf
Affiliation:
Cranfield University, Department of Electronic Warfare, Shrivenham, UK
*
[email protected]
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Abstract

In this paper, the development of a fault-tolerant control system for an aircraft that exploits both the hardware and analytical redundancy in the system is considered. A control allocation approach is developed where the total control command is computed and distributed among the available control surfaces. The actuator’s position and rate limits are taken into account in the optimisation problem. Existing fault-tolerant control allocation techniques produce look-up tables of control gains based on certain faults in the model. In contrast, the developed reconfigurable approach presented here incorporates a new process that redistributes control efforts which is updated whenever a fault occurs. In order to correlate between control effort redistribution and the fault magnitude, a fuzzy logic scheme is implemented, which handles a wide range of fault magnitudes on-line. The approach is applied for the most severe type of fault, which is the “lock-in-place” (jam) fault. Results show that the developed approach successfully handles the faulty situations and enhances aircraft flying responses by utilising the available healthy controls.

Keywords

Control allocationfault-tolerant controlstuck control surfacefuzzy logic
Type
Research Article
Information
The Aeronautical Journal , Volume 121 , Issue 1237 , March 2017 , pp. 341 - 371
Copyright
Copyright © Royal Aeronautical Society 2017 

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References

REFERENCES

1. Zhang, Y. and Jiang, J. Bibliographical review on reconfigurable fault-tolerant control systems, Annual Reviews in Control, 2008, 32, (2), pp 229–252.Google Scholar
2. Edwards, C., Lombaerts, T. and Smaili, H. Fault Tolerant Flight Control: A Benchmark Challenge, vol. 399, 2010, Springer Verlag, Berlin-Heidelberg.Google Scholar
3. Patton, R.J. Fault-tolerant control systems: The 1997 situation, in the International Federation of Automatic Control Symposium on Fault Detection Supervision and Safety for Technical Processes, Hull, UK, 1997, 3, pp 1033–1054.Google Scholar
4. Guo, S. and Li, Y. Reliability-based robust H1 control of linear systems with uncertain parameters, International Conference of Control and Automation, 2005, Budapest, Hungary.Google Scholar
5. Gahinet, P. and Apkarian, P. Structured H1 synthesis in MATLAB, Proceedings of the International Federation of Automatic Control, 2011, Milan, Italy.Google Scholar
6. Mirzaei, M., Niemann, H. and Poulsen, N.K. A μ-synthesis approach to robust control of a wind turbine, Proceedings of the in the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), 2011, Florida, US, pp. 645-650.Google Scholar
7. Doyle, J., Lenz, K. and Packard, A. Design examples using μ-synthesis: Space shuttle lateral axis FCS during reentry, Modelling, Robustness and Sensitivity Reduction in Control Systems, 1987, Springer, Groningen, Netherlands, pp. 127-154.Google Scholar
8. Balas, G. J., Doyle, J. C., Glover, K., Packard, A. and Smith, R. μ-Analysis and Synthesis Toolbox for Use with Matlab: User Guide, 2011, MathWorks, Inc. Google Scholar
9. Lanzon, A. and Tsiotras, P. A combined application of H1 loop shaping and μ-synthesis to control high-speed flywheels, IEEE Transactions on Control Systems Technology, 2005, 13, (5), pp 766–777.Google Scholar
10. Son, K.M. and Park, J.K. On the robust LQG control of TCSC for damping power system oscillations, IEEE Transactions on Power Systems, 2000, 15, (4), pp 1306–1312.CrossRefGoogle Scholar
11. Chrif, L. and Kadda, Z.M. Aircraft control system using LQG and LQR controller with optimal estimation-Kalman filter design, Procedia Engineering, 2014, 80, pp 245–257.Google Scholar
12. Gahinet, P.M., Nemirovskii, A., Laub, A.J. and Chilali, M. The LMI control toolbox, IEEE Conference on Decision and Control, 1994, 2, pp 2038–2041.Google Scholar
13. Sename, O., Gaspar, P. and Bokor, J. Robust Control and Linear Parameter Varying Approaches: Application to Vehicle Dynamics, 2013, Springer, Berlin, Germany.Google Scholar
14. Ye, C. and Yang, G.H. Adaptive fault-tolerant tracking control against actuator faults with application to flight control, IEEE Transactions on Control Systems Technology, 2006, 14, (6), pp 1088–1096.Google Scholar
15. Yang, G.H. and Ye, D. Adaptive fault-tolerant H1 control via state feedback for linear systems against actuator faults, Proceedings of the 45th IEEE Conference on Decision and Control, San Diego, US, 2006, pp 3530-3535.CrossRefGoogle Scholar
16. Li, X.J. and Yang, G.H. Robust adaptive fault-tolerant control for uncertain linear systems with actuator failures, IET Control Theory & Applications, 2012, 6, (10), pp 1544–1551.Google Scholar
17. Cook, M.V. Flying qualities and flight control, Lecture Notes, 2012, Cranfield University, Cranfield, UK.Google Scholar
18. Harkegard, O. Dynamic control allocation using constrained quadratic programming, Journal of Guidance, Control, and Dynamics, 2004, 27, (6), pp 1028–1034.CrossRefGoogle Scholar
19. Johansen, T.A. and Fossen, T.I. Control allocation: A survey, Automatica, 2013, 49, (5), pp 1087–1103.Google Scholar
20. Ducard, G.J. Fault-tolerant flight control and guidance systems, Advances in Industrial Control, 2009, Springer-Verlag, London, pp 89–106.Google Scholar
21. Almutairi, S.H. Optimal Fault-tolerant Flight Control for Aircraft with Actuation Impairments, PhD Thesis, 2015, Cranfield University, Cranfield, UK.Google Scholar
22. Harkegard, O. Resolving actuator redundancy control allocation vs linear quadratic control, Automatica, 2005, 41, (1), pp 137–144.Google Scholar
23. Petersen, J. and Bodson, M. Constrained quadratic programming techniques for control allocation, IEEE Transactions on Control Systems Technology, 2006, 14, (1), pp 91–98.Google Scholar
24. Wang, H.D., Yi, J.Q. and Fan, G.L. Autonomous reconfigurable flight control system design using control allocation, Proceedings of the 2nd International Symposium on Systems and Control in Aerospace and Astronautics, 2008, IEEE, pp 1–6.Google Scholar
25. Harkegard, O. Backstepping and control allocation with applications to flight control, PhD Thesis, Linkoping University, Sweden, 2003.Google Scholar
26. Durham, W. and Bordignon, K. Multiple control effector rate limiting, J. Guidance, Control, and Dynamics, January–February 1996, 19, (1), pp 30–37.Google Scholar
27. Harkegaard, O. Efficient active set algorithms for solving constrained least squares problems in aircraft control allocation, Proceedings of the Decision and Control, 2002, IEEE, Las Vegas, US, pp 1295-1300.Google Scholar
28. Zadeh, L. Fuzzy sets, Information and Control, June 1965, 8, (3), pp 338–353.CrossRefGoogle Scholar
29. Mamdani, E. and Assilian, S. An experiment in linguistic synthesis with a fuzzy logic controller, Int J Man-Machine Studies, January 1975, 7, (1), pp 1–13.Google Scholar
30. Bai, Y., Zhuang, H. and Wang, D. Fundamentals of fuzzy logic control, chapter 2, Advanced Fuzzy Logic Technologies in Industrial Applications, 2006, Springer, London, UK, pp 17–36.Google Scholar
31. Alwi, H. and Edwards, C. Fault tolerant control using sliding modes with on-line control allocation, Automatica, July 2008, 44, (7), pp 1859–1866.Google Scholar
32. Filippone, A. Data and performances of selected aircraft and rotorcraft, Prog Aerospace Sci, November 2000, 36, (8), pp 629–654.Google Scholar
33. Caughey, D. Introduction to aircraft stability and control, Course Notes for ME & AE, 2011, Sibley School of Mechanical & Aerospace, New York, US.Google Scholar
34. Wang, W. Fuzzy Logic Toolbox: for Use with MATLAB: Users Guide, 1998, MathWorks, Inc., Natick, MA, US.Google Scholar