• DocumentCode
    164198
  • Title

    Nonlinear Model Predictive Control for a multi-rotor with heavy slung load

  • Author

    Trachte, Jan ; Gonzalez, F. ; McFadyen, Aaron

  • Author_Institution
    Inst. of Flight Mech. & Control, Univ. Stuttgart, Stuttgart, Germany
  • fYear
    2014
  • fDate
    27-30 May 2014
  • Firstpage
    1105
  • Lastpage
    1110
  • Abstract
    In this paper a novel controller for stable and precise operation of multi-rotors with heavy slung loads is introduced. First, simplified equations of motions for the multi-rotor and slung load are derived. The model is then used to design a Nonlinear Model Predictive Controller (NMPC) that can manage the highly nonlinear dynamics whilst accounting for system constraints. The controller is shown to simultaneously track specified waypoints whilst actively damping large slung load oscillations. A Linear-quadratic regulator (LQR) controller is also derived, and control performance is compared in simulation. Results show the improved performance of the Nonlinear Model Predictive Control (NMPC) controller over a larger flight envelope, including aggressive maneuvers and large slung load displacements. Computational cost remains relatively small, amenable to practical implementation. Such systems for small Unmanned Aerial Vehicles (UAVs) may provide significant benefit to several applications in agriculture, law enforcement and construction.
  • Keywords
    autonomous aerial vehicles; linear quadratic control; mobile robots; nonlinear control systems; predictive control; rotors (mechanical); LQR controller; NMPC; UAV; aggressive maneuvers; control performance; heavy slung load; linear-quadratic regulator; multirotor; nonlinear dynamics; nonlinear model predictive control; slung load displacements; system constraints; unmanned aerial vehicles; Damping; Equations; Force; Load modeling; Mathematical model; Predictive control; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2014 International Conference on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/ICUAS.2014.6842363
  • Filename
    6842363