• DocumentCode
    1792195
  • Title

    Adaptive fuzzy high-order sliding mode control for flexible air-breathing hypersonic vehicle

  • Author

    Junlong Gao ; Ruyi Yuan ; Jianqiang Yi

  • Author_Institution
    Inst. of Autom., Beijing, China
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    1515
  • Lastpage
    1520
  • Abstract
    This paper proposes a multi-input multi-output (MIMO) adaptive fuzzy high-order sliding mode controller (FHOSMC) for the flexible air-breathing hypersonic vehicle (FAHV) longitudinal model. In order to suppress big uncertainties coming from flexible modes and make the system stably controlled, we design high-order sliding mode (HOSM) controller as the main controller to achieve system convergence in limit time, and adopt the fuzzy logic system (FLS) to generate adaptive parameters to adjust the control coefficients of HOSM controller online. In addition, tracking differentiator (TD) and nonlinear state observer (NSO) are designed to generate the high-order approximate commands and real-time derivatives of velocity and altitude respectively. The simulation results validate the effectiveness and robustness of the proposed controller.
  • Keywords
    MIMO systems; adaptive control; aircraft control; approximation theory; attitude control; control system synthesis; convergence of numerical methods; fuzzy control; observers; uncertain systems; variable structure systems; velocity control; FAHV; FHOSMC; FLS; adaptive parameter generation; flexible air-breathing hypersonic vehicle longitudinal model; fuzzy logic system; high-order approximate command generation; multiinput multioutput adaptive fuzzy high-order sliding mode controller design; nonlinear state observer design; real-time altitude derivatives; real-time velocity derivatives; system convergence; tracking differentiator design; uncertainty suppression; Control systems; Fuzzy logic; Niobium; Observers; Robustness; Vehicles; Vibrations; FHOSMC; Feedback linearization; Flexible Air-breathing Hypersonic Vehicle; Fuzzy Logic System; Nonlinear State Observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885924
  • Filename
    6885924