Advances in aircraft and spacecraft science

  • 제4권1호
  • /
  • Pages.53-64
  • /
  • 2017
  • /
  • 2287-528X(pISSN)
  • /
  • 2287-5271(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Analytical fault tolerant navigation system for an aerospace launch vehicle using sliding mode observer

  • Hasani, Mahdi (Department of Aerospace Engineering, K.N. Toosi university of Technology) ;
  • Roshanian, Jafar (Department of Aerospace Engineering, K.N. Toosi university of Technology) ;
  • Khoshnooda, A. Majid (Department of Aerospace Engineering, K.N. Toosi university of Technology)
  • 투고 : 2016.02.20
  • 심사 : 2016.05.18
  • 발행 : 2017.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

Aerospace Launch Vehicles (ALV) are generally designed with high reliability to operate in complete security through fault avoidance practices. However, in spite of such precaution, fault occurring is inevitable. Hence, there is a requirement for on-board fault recovery without significant degradation in the ALV performance. The present study develops an advanced fault recovery strategy to improve the reliability of an Aerospace Launch Vehicle (ALV) navigation system. The proposed strategy contains fault detection features and can reconfigure the system against common faults in the ALV navigation system. For this purpose, fault recovery system is constructed to detect and reconfigure normal navigation faults based on the sliding mode observer (SMO) theory. In the face of pitch channel sensor failure, the original gyro faults are reconstructed using SMO theory and by correcting the faulty measurement, the pitch-rate gyroscope output is constructed to provide fault tolerant navigation solution. The novel aspect of the paper is employing SMO as an online tuning of analytical fault recovery solution against unforeseen variations due to its hardware/software property. In this regard, a nonlinear model of the ALV is simulated using specific navigation failures and the results verified the feasibility of the proposed system. Simulation results and sensitivity analysis show that the proposed techniques can produce more effective estimation results than those of the previous techniques, against sensor failures.

키워드

참고문헌

  1. Alwi, H. and Edwards, C. (2014), "Robust fault reconstruction for linear parameter varying systems using sliding mode observers", Int. J. Robust Nonlin. Control, 24(14), 1947-1968. https://doi.org/10.1002/rnc.3009
  2. Falcoz, A., Henry, D. and Zolghadri, A. (2010), "Robust fault diagnosis for atmospheric reentry vehicles: a case study", Syst. Man Cyber. Part A: Syst. Human. IEEE Tran., 40(5), 886-899. https://doi.org/10.1109/TSMCA.2010.2063022
  3. Hall, C.E. and Shtessel, Y.B. (2006), "Sliding mode disturbance observer-based control for a reusable launch" vehicle", J. Guid. Control Dyn., 29(6), 1315-1328. https://doi.org/10.2514/1.20151
  4. Hamayun, M.T., Edwards, C. and Alwi, H. (2010), "Integral sliding mode fault tolerant control incorporating on-line control allocation", Variable Structure Systems (VSS), 2010 11th International Workshop on IEEE, 100-105
  5. Hwang, I., Kim, S., Kim, Y. and Seah, C.E. (2010), "A survey of fault detection, isolation, and reconfiguration methods", Control Syst. Tech. IEEE Tran., 18, 636-653. https://doi.org/10.1109/TCST.2009.2026285
  6. Jayakumar, M. and Das, B.B. (2010), "Isolating incipient sensor faults and system reconfiguration in a flight control actuation system", Proc. Inst. Mech. Eng. Part I: J. Syst. Control Eng., 224(1), 101-111.
  7. Kadlec, P., Gabrys, B. and Strandt, S. (2009), "Data-driven soft sensors in the process industry", Comput. Chem. Eng., 33, 795-814. https://doi.org/10.1016/j.compchemeng.2008.12.012
  8. Li, H., Gao, H., Shi, P. and Zhao, X. (2014), "Fault-tolerant control of Markovian jump stochastic systems via the augmented sliding mode observer approach", Automatica, 50(7), 1825-1834. https://doi.org/10.1016/j.automatica.2014.04.006
  9. Marzat, J., Piet-Lahanier, H., Damongeot, F. and Walter, E. (2012), "Model-based fault diagnosis for aerospace systems: a survey" Proc. Inst. Mech. Eng. Part I: J. Syst. Control Eng., 0954410011421717.
  10. Roshanian, J., Saleh, A.R. and Jahed-Motlagh, M.R. (2007), "On the design of adaptive autopilots for a launch vehicle", Proc. Inst. Mech. Eng. Part I: J. Syst. Control Eng., 221(1), 27-38
  11. Venkateswaran, N., Siva, M.S. and Goel, P.S. (2002), "Analytical redundancy based fault detection of gyroscopes in spacecraft applications", Acta Astronautica, 50(9), 535-545. https://doi.org/10.1016/S0094-5765(01)00209-0
  12. Zolghadri, A. (2013), "The challenge of advanced model-based fdir techniques for aerospace systems: the 2011 situation", Pr. Flight Dyn. Guid. Navigat. Control Faul. Detect. Avion., 6(3), 231-248.

피인용 문헌

  1. Nonlinear Parity Approach to Fault Detection in Nonlinear Systems Using Unknown Input Observer vol.45, pp.1, 2017, https://doi.org/10.1007/s40998-020-00360-2