• DocumentCode
    1758401
  • Title

    Identification of Linear Models for the Dynamics of a Hovering Quadrotor

  • Author

    Bergamasco, Marco ; Lovera, Marco

  • Author_Institution
    Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Milano, Milan, Italy
  • Volume
    22
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    1696
  • Lastpage
    1707
  • Abstract
    Accurate dynamic modeling of helicopter aeromechanics is becoming increasingly important, as progressively stringent requirements are being imposed on rotorcraft control systems. System identification plays an important role as an effective approach to the problem of deriving or fine tuning mathematical models for purposes such as handling qualities assessment and control system design. In this paper, the problem of deriving continuous-time models for the dynamics of a small-scale quadrotor helicopter is considered. More precisely, the continuous-time predictor-based subspace identification approach is adopted and the results obtained in an experimental study are presented and discussed.
  • Keywords
    aerospace control; continuous time systems; helicopters; linear systems; mathematical analysis; continuous time predictor; control system design; dynamic modeling; fine tuning mathematical models; helicopter aeromechanics; hovering quadrotor dynamics; linear model identification; rotorcraft control systems; subspace identification approach; Aerodynamics; Data models; Helicopters; Mathematical model; Rotors; Uncertainty; Vehicle dynamics; Attitude control; state-space methods; system identification; unmanned aerial vehicles; unmanned aerial vehicles.;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2014.2299555
  • Filename
    6733364