• DocumentCode
    3017099
  • Title

    Robust take-off and landing for a quadrotor vehicle

  • Author

    Cabecinhas, D. ; Naldi, R. ; Marconi, L. ; Silvestre, C. ; Cunha, R.

  • Author_Institution
    Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    1630
  • Lastpage
    1635
  • Abstract
    This paper addresses the problem of robust takeoff and landing control of a quadrotor UAV (Unmanned Aerial Vehicle). During the critical flight phases of takeoff and landing the vehicle dynamics change according to the possible existence of contact with the ground. To model the vehicle during the overall maneuver a hybrid automaton is used where each state corresponds to a different dynamic behavior exhibited by the UAV. The original takeoff and landing problems are then addressed as a problem of tracking suitable reference signals in order to achieve the desired transitions between different hybrid states of the automaton. Both reference trajectories and feedback control laws are derived to explicitly account for measurement noise and uncertainties, in both the environment and in the vehicle dynamics. Simulation results demonstrate the effectiveness of the proposed solution.
  • Keywords
    aerospace robotics; automata theory; feedback; mobile robots; position control; remotely operated vehicles; robot dynamics; robust control; feedback control; hybrid automaton; landing control; quadrotor UAV; reference trajectory control; robust control; takeoff control; unmanned aerial vehicle; vehicle dynamics; Automata; Automatic control; Feedback control; Measurement uncertainty; Noise measurement; Robust control; Robustness; Unmanned aerial vehicles; Vehicle dynamics; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509430
  • Filename
    5509430