• DocumentCode
    3272256
  • Title

    Subspace Model Identification Methods for Identifying the Small-scale Unmanned Helicopter Dynamics

  • Author

    Chen, Wenbing ; Liu, Ming ; Ge, Yunjian

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei
  • fYear
    2007
  • fDate
    20-24 March 2007
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    Because most multivariable control methods are model-based, and the dynamic model for a particular small-scale helicopter which is simple enough to be practical for controller is not readily available, the identification of small-scale helicopter´s dynamic model is a necessary part of any model-based control design. This paper describes the MO ESP method which uses numerically robust computation tools applied in the model identification of a small-scale helicopter dynamics. The result of simulation shows this method is suitable for the dynamic identification of a small-scale helicopter.
  • Keywords
    aircraft control; dynamics; helicopters; identification; multivariable control systems; remotely operated vehicles; model-based control; multivariable control; small-scale helicopter dynamic identification; small-scale helicopter dynamic model; small-scale unmanned helicopter dynamics; subspace model identification; Control design; Helicopters; Iterative algorithms; MIMO; Machine intelligence; Nonlinear dynamical systems; Robustness; State-space methods; System identification; Vehicle dynamics; Helicopter; Identification; MOESP; Subspace;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integration Technology, 2007. ICIT '07. IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    1-4244-1092-4
  • Electronic_ISBN
    1-4244-1092-4
  • Type

    conf

  • DOI
    10.1109/ICITECHNOLOGY.2007.4290482
  • Filename
    4290482