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Lift Failure Detection and Management System for Quadrotors

  • J. J. Roldan
  • David Sanz
  • Jaime del Cerro
  • Antonio Barrientos
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 252)

Abstract

In the last decade, the use of small autonomous unmanned aerial vehicles (UAVs) has been generalized. Specially, multirotor vehicles become really popular and are being employed in several different applications and fields: military missions, agricultural processes, rescue and surveillance operations, audiovisual productions.. and even have arrived to the public at large. This entertainment approach has set some challenges still unresolved: among them, the safety of these systems.

The work presented in this paper is framed in this challenge, focusing on the multirotors systems behaviour when facing a lift problem. It has been tried to detect and manage emergency situations, being the goal to minimize as much as possible the potential damages. It started from a deep study of the main malfunctions or breakdowns affecting to the drone’s lift. This study flowed into the design and develop of a model-based algorithm able to detect this events in a fast and robust way. This failure monitor allows to effectively apply control techniques to compensate (if it is possible) the breakdown’s effects and to use passive safety methods (e.g. parachutes) to minimize the potential damages derived from a fall.

The system and techniques developed in this work were tested both in simulation and in real experiments, proving they suppose and increment in the operation’s safeness (i.e. both the own drone and the third party agents, safety methods).

Keywords

Quadrotor safety failure detection degraded flight control system and pasive security methods 

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References

  1. 1.
    Berbra, C., Lesecq, S., Martinez, J.J.: A multi-observer switching strategy for fault-tolerant control of a quadrotor helicopter. In: 16th Mediterranean Conference on Control and Automation, pp. 1094–1099 (2008)Google Scholar
  2. 2.
    Ducard, G.J.: Fault-tolerant flight control and guidance systems: Practical methods for small unmanned aerial vehicles. Springer (2009)Google Scholar
  3. 3.
    Freddi, A., Longhi, S., Monteriu, A.: Actuator fault detection system for a mini- quadrotor. In: 2010 IEEE International Symposium on Industrial Electronics (ISIE), pp. 2055–2060 (July 2010)Google Scholar
  4. 4.
    Heredia, G., Ollero, A.: Detection of sensor faults in small helicopter uavs using observer/kalman filter identification. Mathematical Problems in Engineering (2011)Google Scholar
  5. 5.
    Kim, Y., Peskin, C.S.: 2-d parachute simulation by the immersed boundary method. SIAM Journal on Scientific Computing 28(6), 2294–2312 (2006)MathSciNetCrossRefMATHGoogle Scholar
  6. 6.
    Rafaralahy, H., Richard, E., Boutayeb, M., Zasadzinski, M.: Simultaneous observer based sensor diagnosis and speed estimation of unmanned aerial vehicle. In: 47th IEEE Conference on Decision and Control (CDC 2008), pp. 2938–2943. IEEE (2008)Google Scholar
  7. 7.
    Rago, C., Prasanth, R., Mehra, R.K., Fortenbaugh, R.: Failure detection and identification and fault tolerant control using the imm-kf with applications to the eagle-eye uav. In: Proceedings of the 37th IEEE Conference on Decision and Control, vol. 4, pp. 4208–4213. IEEE (1998)Google Scholar
  8. 8.
    Sharifi, F., Mirzaei, M., Gordon, B.W., Zhang, Y.: Fault tolerant control of a quadrotor uav using sliding mode control. In: 2010 Conference on Control and Fault-Tolerant Systems (SysTol), pp. 239–244. IEEE (2010)Google Scholar
  9. 9.
    Yang, C., Yang, Z., Huang, X., Xu, D.: Distributed fault-tolerant control for quadrotor. Journal of Applied Sciences 31(3), 321–330 (2013)MathSciNetGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • J. J. Roldan
    • 1
  • David Sanz
    • 1
  • Jaime del Cerro
    • 1
  • Antonio Barrientos
    • 1
  1. 1.Center for Automation and Robotics UPM-CSICMadridSpain

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