Abstract
The method proposed in this paper aims at automatically detecting, isolating and identifying faults on actuators of a satellite model and also aims at automatically reconfiguring the reference input once the fault has been isolated. The method uses two sliding mode observers to detect and reconstruct the fault. A cusum test on the output of the detection observer triggers a bank of Unknown Input Observers in order to isolate the faulty actuator. The reference input is automatically reconfigured in order to pre-compensate the fault, which makes the satellite capable of fulfilling its mission with the desired performances and good precision. Monte Carlo analysis, based on performance criteria, is carried out to assess the performance of the strategy. The combination of these different types of filters might provide better detection, isolation and identification capabilities than a single filter that would be forced to achieve a trade-off between fast detection and accurate estimation.
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References
Alwi, H., Edwards, C., Marcos, A.: FDI for a Mars orbiting satellite based on a sliding mode observer scheme. In: Proc. of the IEEE Conference on Control and Fault-Tolerant Systems, Nice, France, pp. 143–148 (2010)
Basseville, M., Nikiforov, V.: Detection of Abrupt Changes: Theory and Application. Prentice-Hall, Englewood Cliffs (1993)
Edwards, C., Spurgeon, S.K., Patton, R.J.: Sliding mode observers for fault detection and isolation. Automatica 36(4), 541–553 (2000)
Jian, T., Khorasani, K., Tafazoli, S.: Parameter estimation-based fault detection, isolation and recovery for nonlinear satellite models. IEEE Transactions on Control System Technology 16(4), 799–808 (2008)
Marzat, J., Walter, E., Damongeot, F., Piet-Lahanier, H.: Robust automatic tuning of diag-nosis methods via an efficient use of costly simulations. In: Proc. of the 16th IFAC Symposium on System Identification, Brussels, Belgium, pp. 398–403 (2012)
Patton, R.J., Uppal, F.J., Simani, S., Polle, B.: Robust FDI applied to thruster faults of a satellite system. Control Engineering Practice 18(9), 1093–1109 (2009)
Sidi, M.J.: Spacecraft dynamics and control: a practical engineering approach. Cambridge University Press (1997)
Talebi, H.A., Khorasani, K., Tafazoli, S.: A recurrent neural-network-based sensor and actuator fault detection and isolation for nonlinear systems with application to the satellite’s attitude control subsystem. IEEE Transactions on Neural Networks 20(1), 45–60 (2009)
Theilliol, D., Join, C., Zhang, Y.: Actuator Fault Tolerant Control Design Based on a Reconfigurable Reference Input. Journal of Applied Mathematics and computer Science 18(4), 553–560 (2008)
Varga, A.: Monitoring actuator failures for a large transport aircraft – the nominal case. In: Proc. of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Barcelona, Spain, pp. 627–632 (2009)
Wie, B.: Space Vehicle Dynamics and Control, Reston, Virginia. AIAA Educational Series (1997)
Williamson, W.R., Speyer, J.L., Dang, V.T., Sharp, J.: Fault Detection and Isolation for Deep Space Satellites. Journal of Guidance, Control and Dynamics 32(5), 1570–1584 (2009)
Zhang, Y., Jiang, J.: Bibliographical review on reconfigurable fault-tolerant control systems. Annual Reviews in Control 32(2), 229–252 (2008)
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Abauzit, A., Marzat, J. (2013). A Multiple-Observer Scheme for Fault Detection, Isolation and Recovery of Satellite Thrusters. In: Chu, Q., Mulder, B., Choukroun, D., van Kampen, EJ., de Visser, C., Looye, G. (eds) Advances in Aerospace Guidance, Navigation and Control. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38253-6_13
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DOI: https://doi.org/10.1007/978-3-642-38253-6_13
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