• DocumentCode
    2124305
  • Title

    Feedforward control design for a four-rotor UAV using direct and indirect methods

  • Author

    Grüning, Tobias ; Rauh, Andreas ; Aschemann, Harald

  • Author_Institution
    Dept. of Mechatron., Univ. of Rostock, Rostock, Germany
  • fYear
    2012
  • fDate
    27-30 Aug. 2012
  • Firstpage
    439
  • Lastpage
    444
  • Abstract
    To calculate feedforward control strategies by means of dynamic optimization procedures, the alternatives of direct and indirect methods are compared in this paper. The direct optimization approaches that are considered in this paper make use of the Hermite-Simpson method and of the Legendre Pseudospectral method as underlying discretization strategies. Their description is followed by a short introduction to the maximum principle of Pontryagin, i.e., the indirect method. All procedures are employed to compute feedforward control sequences for the flight control of a four-rotor UAV, which is an unstable, nonlinear multi-input multi-output system. The optimization results are compared with respect to their accuracy and applicability.
  • Keywords
    Legendre polynomials; MIMO systems; aerospace control; autonomous aerial vehicles; control system synthesis; feedforward; maximum principle; nonlinear control systems; optimisation; rotors; Hermite-Simpson method; Legendre pseudospectral method; Pontryagin maximum principle; direct optimization; discretization strategy; dynamic optimization procedure; feedforward control design; feedforward control sequence; flight control; four-rotor UAV; indirect method; nonlinear multinput multioutput system; Cost function; Feedforward neural networks; Mathematical model; Optimal control; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
  • Conference_Location
    Miedzyzdrojie
  • Print_ISBN
    978-1-4673-2121-1
  • Type

    conf

  • DOI
    10.1109/MMAR.2012.6347849
  • Filename
    6347849