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Robust Fault Diagnosis for Quadrotor UAVs Using Adaptive Thau Observer

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Abstract

A robust Fault Diagnosis (FD) scheme for a real quadrotor Unmanned Aerial Vehicle (UAV) is proposed in this paper. Firstly, a novel Adaptive Thau observer (ATO) is developed to estimate the quadrotor system states and build a set of offset residuals to indicate actuators’ faults. Based on these residuals, some rules of Fault Diagnosis (FD) are designed to detect and isolate the faults as well as estimate the fault offset parameters. Secondly, a synthetic robust optimization scheme is presented to improve Fault Estimation (FE) accuracies, three key issues include modeling uncertainties, and magnitude order unbalances as well as noises are addressed. Finally, a typical fault of rotors is simulated and injected into one of four rotors of the quadrotor, and experiments for the FD scheme have been carried out. Unlike former research works on the FD schemes for quadrotors, our proposed FD scheme based on the ATO can not only detect and isolate the failed actuators, but also estimate the fault severities. Regardless of roughness of the real flying data, the FD results still have sufficient FE accuracies.

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References

  1. Freddi, A., Longhi, S., Monteriù, A.: A diagnostic thau observer for a class of unmanned vehicles. J. Intell. Robot. Syst. 67, 1–13 (2012)

    Article  Google Scholar 

  2. Freddi, A., Longhi, S., Monteriù, A.: A model-based fault diagnosis system for a mini-quadrotor. In: Proc. 2009 7th Workshop on Advanced Control and Diagnosis, pp. 19–20

  3. Freddi, A., Longhi, S., Monteriu, A.: Actuator fault detection system for a mini-quadrotor. In: 2010 IEEE International Symposium on Proc. 2010 Industrial Electronics (ISIE), pp. 2055–2060

  4. Yu, Y., Ding, X.: A quadrotor test bench for six degree of freedom flight. J. Intell. Robot. Syst. 68, 323–338 (2012)

    Article  Google Scholar 

  5. Vitzilaios, N.I., Tsourveloudis, N.C.: An experimental test bed for small unmanned helicopters. J. Intell. Robot. Syst. 54, 769–794 (2009)

    Article  Google Scholar 

  6. Abdolhosseini, M., Zhang, Y.M., Rabbath, C.A.: An efficient model predictive control scheme for an unmanned quadrotor helicopter. J. Intell. Robot. Syst. 70, 27–38 (2013)

    Article  Google Scholar 

  7. Mohammadi, M., Shahri, A.M.: Adaptive nonlinear stabilization control for a quadrotor UAV: theory, simulation and experimentation. J. Intell. Robot. Syst. 72, 105–122 (2013)

    Article  Google Scholar 

  8. Escareño, J., Salazar, S., Romero, H., Lozano, R.: Trajectory control of a quadrotor subject to 2D wind disturbances. J. Intell. Robot. Syst. 70, 51–63 (2013)

    Article  Google Scholar 

  9. Liu, H., Bai, Y., Lu, G., Shi, Z., Zhong, Y.: Robust tracking control of a quadrotor helicopter. J. Intell. Robot. Syst. (2013). doi:10.1007/s10846-013-9838-2

  10. Tarhan, M., Altuğ, E.: EKF based attitude estimation and stabilization of a quadrotor UAV using vanishing points in catadioptric images. J. Intell. Robot. Syst. 62, 587–607 (2011)

    Article  Google Scholar 

  11. Rinaldi, F., Chiesa, S., Quagliotti, F.: Linear quadratic control for quadrotors UAVs dynamics and formation flight. J. Intell. Robot. Syst. 70, 203–220 (2013)

    Article  Google Scholar 

  12. Zhang, Y., Chamseddine, A.: Automatic flight control systems—latest developments. In: Fault Tolerant Flight Control Techniques with Application to a Quadrotor UAV Testbed, vol. Intech (2012)

  13. Izadi, H.A., Zhang, Y., Gordon, B.W.: Fault tolerant model predictive control of quad-rotor helicopters with actuator fault estimation. In: Proc. 2011 Proceedings of the 18th IFAC World Congress, pp. 6343–6348 (2011)

  14. Sadeghzadeh, I., Mehta, A., Zhang, Y., Rabbath, C.A.: Fault-tolerant trajectory tracking control of a quadrotor helicopter using gain-scheduled PID and model reference adaptive control. In: Proc. 2011 Annual Conference of the Prognostics and Health Management Society, pp. 25–29 (2011)

  15. Zhang, Y., Jiang, J.: Bibliographical review on reconfigurable fault-tolerant control systems. Annu. Rev. Control 32, 229–252 (2008)

    Article  Google Scholar 

  16. Sobhani-Tehrani, E., Khorasani, K.: Fault diagnosis of nonlinear systems using a hybrid approach, vol. 383. Springer (2009)

  17. Amoozgar,M.H., Chamseddine, A., Zhang, Y.: Experimental test of a two-stage kalman filter for actuator fault detection and diagnosis of an unmanned quadrotor helicopter. J. Intell. Robot. Syst. 70, 107–117 (2013)

    Article  Google Scholar 

  18. Qi, X., Theilliol, D., Qi, J., Zhang, Y., Han, J.: A literature review on fault diagnosis methods for manned and unmanned helicopters. In: International Conference on Proc. 2013 Unmanned Aircraft Systems (ICUAS), pp. 1114–1118 (2013)

  19. Amoozgar, M.H., Chamseddine, A., Zhang, Y.M.: Experimental test of an interacting multiple model filtering algorithm for actuator fault detection and diagnosis of an unmanned quadrotor helicopter. In: ICIRA’12 Proceedings of the 5th International Conference on Intelligent Robotics andApplications, vol 1, pp. 473–482. Springer-Verlag Berlin, Heidelberg (2012)

  20. Ma, L.: Development of fault detection and diagnosis techniques with applications to fixed-wing and rotary-wing UAVs. Master Degree dissertation, Concordia University (2011)

  21. Ma, L., Zhang, Y.: DUKF-based GTM UAV fault detection and diagnosis with nonlinear and LPV models. In: Proc. 2010 Proceedings of the 6th ASME/IEEE International Conference on Mechatronic & Embedded Systems & Applications, pp. 375–380

  22. Ma, L., Zhang, Y.M.: Fault detection and diagnosis for GTM UAV with dual unscented Kalman filter. In: Proc. 2010 AIAA Guidance, Navigation, and Control Conference, pp. 3204–3215

  23. Ranjbaran, M., Khorasani, K.: Fault recovery of an under-actuated quadrotor Aerial Vehicle. In: 49th IEEE Conference on Proc. 2010 Decision and Control (CDC), pp. 4385–4392 (2010)

  24. Cen, Z., Noura, H., Al Younes, Y.: Engineering implementation on fault diagnosis for quadrotors based on nonlinear observer. In: Proc. 2013 25th Chinese Control and Decision Conference (CCDC) (2013)

  25. Cen, Z., Noura, H., Younes, Y.A.: Robust fault estimation on a real quadrotor UAV using optimized adaptive Thau observer. In: International Conference on Proc. 2013 Unmanned Aircraft Systems (ICUAS), pp. 550–556 (2013)

  26. Sharifi, F., Mirzaei, M., Gordon, B.W., Zhang, Y.: Fault tolerant control of a quadrotor UAV using sliding mode control. In: Conference on Proc. 2010 Control and Fault-Tolerant Systems (SysTol), pp. 239–244 (2010)

  27. Meng, L., Jiang, B., Xu, Y.: Observer-based robust fault diagnosis for a class of uncertain nonlinear systems. In: Proc. 2009 Control and Decision Conference, CCDC’09. Chinese, pp. 885–889 (2009)

  28. Zhang, K., Jiang, B., Shi, P.: Adaptive observer-based fault diagnosis with application to satellite attitude control systems. In: Second International Conference on Proc. 2007 Innovative Computing, Information and Control, ICICIC’07, p. 508 (2007)

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Authors and Affiliations

  1. Department of Electrical Engneering, UAE University, Al Ain, UAE, 15551

    Zhaohui Cen, Hassan Noura, Tri Bagus Susilo & Younes Al Younes

  2. Mechanical Engineering Faculty, Higher College of Technology, Al Ain, UAE, 17155

    Younes Al Younes

Authors
  1. Zhaohui Cen
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  2. Hassan Noura
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  3. Tri Bagus Susilo
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  4. Younes Al Younes
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Corresponding author

Correspondence to Hassan Noura.

Additional information

This work was supported by the UAE University under Grant 31N102.

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Cen, Z., Noura, H., Susilo, T.B. et al. Robust Fault Diagnosis for Quadrotor UAVs Using Adaptive Thau Observer. J Intell Robot Syst 73, 573–588 (2014). https://doi.org/10.1007/s10846-013-9921-8

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  • DOI: https://doi.org/10.1007/s10846-013-9921-8

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