• DocumentCode
    620225
  • Title

    Engineering implementation on fault diagnosis for quadrotors based on nonlinear observer

  • Author

    Cen Zhaohui ; Noura, H. ; Susilo, T.B. ; Al Younes, Younes

  • Author_Institution
    Dept. of Electr. Engneering, UAE Univ., Al Ain, United Arab Emirates
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    2971
  • Lastpage
    2975
  • Abstract
    This paper proposed an Engineering Implementation scheme on fault diagnosis for a real quadrotor Unmanned Aerial Vehicle (UAV) with actuators fault. A novel nonlinear observer is utilized to estimate the state of the system and to generate fault offset residuals for fault diagnosis. The Fault Diagnosis (FD) rules based on residuals are designed to isolate and estimate faults. Unlike former research work in FD for quadtrotors, the proposed FD is based on real flying data but not model simulation data and still have an acceptable FD accuracy. Experiments for the rotor fault have been carried out to show the performance and effectiveness of the proposed observer method and the results are discussed.
  • Keywords
    actuators; autonomous aerial vehicles; fault diagnosis; mobile robots; observers; FD accuracy; UAV; actuator fault; engineering implementation; fault diagnosis; fault estimation; fault isolation; fault offset residual generation; model simulation data; nonlinear observer; quadrotors; rotor fault; state estimation; unmanned aerial vehicle; Fault detection; Fault diagnosis; Fault tolerance; Fault tolerant systems; Observers; Rotors; Engineering Implementation; Fault Detection and Isolation; Nonlinear Observer; Quadrotor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561454
  • Filename
    6561454