• DocumentCode
    2938315
  • Title

    Detection of Sensor Faults in Autonomous Helicopters

  • Author

    Heredia, Guillermo ; Ollero, Aníbal ; Mahtani, Rajesh ; Béjar, Manuel ; Remuss, Volker ; Musial, Marek

  • Author_Institution
    Robotics, Computer Vision and Intelligent Control Group Dept. Ingeniería de Sistemas y Automática, University of Seville Camino de los Descubrimientos s/n, 41092, Seville, Spain; guiller@cartuja.us.es http://www.esi.us.es/GVR
  • fYear
    2005
  • fDate
    18-22 April 2005
  • Firstpage
    2229
  • Lastpage
    2234
  • Abstract
    This paper presents a sensor fault detection and diagnosis system for autonomous helicopters. The system has been tested with the MARVIN autonomous helicopter. Fault detection is accomplished by evaluating any significant change in the behaviour of the vehicle with respect to the fault-free behaviour, which is estimated by using an observer. The effectiveness of the proposed approach is demonstrated by means of MARVIN experimental results.
  • Keywords
    Autonomous helicopters; UAV; fault detection; fault diagnosis; sensors; Actuators; Control systems; Fault detection; Helicopters; Mobile robots; Neural networks; Open loop systems; Remotely operated vehicles; Sensor systems; Unmanned aerial vehicles; Autonomous helicopters; UAV; fault detection; fault diagnosis; sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-8914-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.2005.1570444
  • Filename
    1570444