• DocumentCode
    2240052
  • Title

    Autonomous recovery control of the UAV spiral based on flight state-cognition

  • Author

    Huan, Zhou ; Hui, Zhao ; Hanqiao, Huang ; Tong, Han ; Xiaofei, Wang

  • Author_Institution
    Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi´an 710038
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    481
  • Lastpage
    488
  • Abstract
    In response to the problem that risky flight states affect the flight safety of unmanned aerial vehicles (UAVs) seriously, an autonomous recovery control method of the UAV spiral based on flight state-cognition is proposed. First of all, principle of the autonomous recovery control method for UAVs is introduced, secondly, the causes of the spiral are analyzed and the intuitionistic fuzzy decision-making is adopted to realize the spiral cognition, finally, the recovery controller of the UAV spiral is designed, which considers the control scheduling of state variables and applies nonlinear dynamic inversion control laws. Simulation results demonstrate the effectiveness of the proposed method for spiral cognition and recovery and the advantages on other methods.
  • Keywords
    Attitude control; Cognition; Control systems; Decision making; Nonlinear dynamical systems; Safety; Spirals; cognition; control scheduling; nonlinear dynamic inversion (NDI); spiral; unmanned aerial vehicle (UAV);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7259683
  • Filename
    7259683