• DocumentCode
    492195
  • Title

    Robust Gain Scheduling Control of Air-breathing Hypersonic Vehicle via Linear Parameter Varying Technique

  • Author

    LU, Cunkan ; Zhong, Dudu ; Yu, Weiwei ; Yan, Jie

  • Author_Institution
    Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    734
  • Lastpage
    737
  • Abstract
    The design of a robust gain scheduling controller which is scheduled on Mach number and altitude for the air-breathing hypersonic vehicle (AHV) is presented. In order to capture the nonlinear airspeed and altitude dependence of AHV, a linear parameter varying (LPV) model is constructed from a set of linearization of the AHV longitudinal dynamics. The linear fractional transformation (LFT) representation of the LPV model is obtained using the graph approach so that it can be used for robust control design technique. The control synthesis structure including this LFT representation and the uncertainty model of AHV is successfully used for controller design based on D-K iteration. Simulation result of the designed controller presents excellent tracking performance independent of the fight conditions of AHV.
  • Keywords
    aircraft; control system synthesis; linear systems; nonlinear control systems; robust control; Mach number; air-breathing hypersonic vehicle; altitude dependence; graph approach; linear fractional transformation; linear parameter varying technique; nonlinear airspeed; robust control design technique; robust gain scheduling control; Aerodynamics; Aircraft; Control systems; Robust control; Scheduling; Space technology; Space vehicles; Stability; Uncertainty; Vehicle dynamics; gain scheduled; hypersonic vehicle; linear fractional transformation; linear parameter varying; robust control; ¿ synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810595
  • Filename
    4810595