• DocumentCode
    2695110
  • Title

    RBF-ARX model-based modeling and control of quadrotor

  • Author

    Wu, Jun ; Peng, Hui ; Chen, Qing

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2010
  • fDate
    8-10 Sept. 2010
  • Firstpage
    1731
  • Lastpage
    1736
  • Abstract
    Research and utilization of quadrotor helicopter in many areas is increasing because of its special flight performance. It is not easy to control a quadrotor whose dynamic characteristics are nonlinear, multivariable and stronglycoupled. A novel method is proposed to solve this problem, which adopts a MIMO RBF-ARX model to represent the nonlinear dynamics of quadrotor, and then based on a locally linearized ARX model that is obtained from the RBF-ARX model at a working-point, the state-feedback control law with LQR approach is proposed to control the quadrotor. The results of real-time control on a quadrotor helicopter illustrate the feasibility and efficient performance of the modeling and control approach presented in this paper. And this successful application to the quadrotor helicopter confirms the validity of the RBF-ARX model.
  • Keywords
    MIMO systems; helicopters; multivariable control systems; nonlinear control systems; nonlinear dynamical systems; state feedback; LQR approach; MIMO RBF-ARX model; locally linearized ARX model; multivariable control; nonlinear control; nonlinear dynamics; quadrotor helicopter; real-time control; state feedback control law; strongly coupled control; Data models; Equations; MIMO; Mathematical model; Propellers; Real time systems; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2010 IEEE International Conference on
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-1-4244-5362-7
  • Electronic_ISBN
    978-1-4244-5363-4
  • Type

    conf

  • DOI
    10.1109/CCA.2010.5611256
  • Filename
    5611256