• DocumentCode
    3170311
  • Title

    Transition flight control for Canard Rotor/Wing rotorcraft

  • Author

    Guo, Tengfei ; Wang, Honglun ; Gai, Wendong

  • Author_Institution
    Sci. & Technol. on Aircraft Control Lab., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    875
  • Lastpage
    880
  • Abstract
    Canard Rotor/Wing (CRW) Unmanned Aerial Vehicle (UAV) combines advantages of a helicopter for taking-off and hover, and a fixed-wing aircraft for high speed cruise. A key technology involved is control system design for transition flight. This paper describes flight characteristic of CRW UAV with achieving transition flight from helicopter mode to fixed-wing mode. Dynamic model is built and analyzed. Control strategy is proposed for three flight modes, including helicopter mode, conversion mode and fixed-wing mode. Then, flight control law is designed by modified nonlinear dynamic inversion technique. In addition, we succeed to allocate redundant control inputs for the CRW with generalized multiple control effectors. Finally, simulation has been done with MATLAB /SIMULINK toolbox. The CRW UAV accelerates from helicopter mode to fixed-wing mode. Meanwhile, control loops are closed on airspeed and altitude. Simulation results show that the designed controller could meet the requirements for transition flight control.
  • Keywords
    aerospace robotics; attitude control; helicopters; mobile robots; nonlinear control systems; remotely operated vehicles; robot dynamics; velocity control; Canard rotor-wing rotorcraft; Matlab; Simulink; UAV dynamic model; airspeed control loop; altitude control loop; conversion mode; fixed-wing aircraft; fixed-wing mode; flight control law design; helicopter mode; nonlinear dynamic inversion technique; transition flight control; unmanned aerial vehicle; Acceleration; Aerodynamics; Aerospace control; Atmospheric modeling; Helicopters; Mathematical model; Rotors; Canard Rotor/Wing; dynamic inversion; modeling; transition flight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010405
  • Filename
    6010405