• DocumentCode
    1795033
  • Title

    Vehicle attitude control using finite time convergence incremental nonlinear dynamic inversion combined the command differential signals

  • Author

    Zikang Su ; Honglun Wang ; Xingling Shao

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1079
  • Lastpage
    1084
  • Abstract
    This paper presents a finite time convergence incremental nonlinear dynamic inversion combined the command differential signals feed forward control. It shows better performance in handling command signals´ tracking problems caused by the time delay of angular acceleration feedback signals´ acquisition in regular incremental nonlinear dynamic inversion, with the combination of finite time convergence desired outputs and command differential signals. The status tracking error convergence theorem for finite time convergence incremental nonlinear dynamic inversion is proved, together with model mismatch perturbation analysis. Simulation results demonstrate, the method presented in this paper not only shows insensitive to model mismatch as the regular incremental nonlinear dynamic inversion, but also tracks the command signal without error in real time.
  • Keywords
    aircraft control; attitude control; delays; feedforward; nonlinear dynamical systems; signal detection; angular acceleration feedback signal acquisition; command differential signal feedforward control; command signal tracking problems; finite time convergence incremental nonlinear dynamic inversion; model mismatch perturbation analysis; regular incremental nonlinear dynamic inversion; status tracking error convergence theorem; time delay; vehicle attitude control; Acceleration; Actuators; Attitude control; Convergence; Delay effects; Nonlinear dynamical systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007355
  • Filename
    7007355