• DocumentCode
    3529148
  • Title

    Model predictive hovering-translation control of an unmanned Tri-TiltRotor

  • Author

    Papachristos, Christos ; Alexis, Kostas ; Tzes, Anthony

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Patras, Rio, Greece
  • fYear
    2013
  • fDate
    6-10 May 2013
  • Firstpage
    5425
  • Lastpage
    5432
  • Abstract
    The experimental translational hovering control of a Tri-TiltRotor Unmanned Aerial Vehicle is the subject of this paper. This novel UAV is developed to possess the capability to perform autonomous conversion between the Vertical Take-Off and Landing, and the Fixed-Wing flight modes. Via this design´s implemented features however, the capability for additional control authority on the UAV´s longitudinal translational motion arises: The rotor-tilting servos are utilized in performing thrust vectoring of the main rotors, thus exploiting their fast response characteristics in directly providing translation-controlling forces. The system´s hovering translation is handled by a Model Predictive Control scheme, following the aforementioned actuation principles. While performing experimental studies of the overall controlled system´s efficiency, the advantageous effects of this novel control authority are clearly noted. Additionally, in this article the considerations and requirements for operational autonomy-related on-board-only state estimation are addressed.
  • Keywords
    autonomous aerial vehicles; helicopters; predictive control; autonomous conversion; fixed-wing flight modes; longitudinal translational motion; model predictive hovering-translation control scheme; novel UAV; operational autonomy-related on-board-only state estimation; rotor-tilting servos; rotorcraft hovering mode to fixed-wing longitudinal flight mode; tri-tiltrotor unmanned aerial vehicle; vertical take-off and landing; Actuators; Cameras; Optical sensors; Propellers; Rotors; Servomotors; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2013 IEEE International Conference on
  • Conference_Location
    Karlsruhe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-5641-1
  • Type

    conf

  • DOI
    10.1109/ICRA.2013.6631355
  • Filename
    6631355