• DocumentCode
    2648707
  • Title

    Modern analysis techniques for gain scheduled Thrust Vector Controllers of launchers

  • Author

    Rotunno, Max ; Fiorenzani, Tiziano ; Petritoli, Paolo ; Bennani, Samir

  • Author_Institution
    Unmanned Technol. Res. Inst., Rome
  • fYear
    2006
  • fDate
    4-6 Oct. 2006
  • Firstpage
    2896
  • Lastpage
    2901
  • Abstract
    Current procedures used in the clearance/analysis of gain scheduled flight control laws for launch vehicles (LV) tend to be very time consuming and complicated. Furthermore, the clearance procedure is in many cases limited to only certain vertices (determined on prior experience) of the uncertain parameter space, in the hope that the worst case scenario is not somewhere in the middle. The main objective of this study is to apply the modern control concepts of linear fractional transformations (LFT), mu-analysis and linear parameter varying (LPV) techniques, to the clearance/analysis of gain scheduled flight control laws for a single axis attitude thrust vector control (TVC) launch vehicle
  • Keywords
    attitude control; control system analysis; linear matrix inequalities; robust control; time-varying systems; uncertain systems; control analysis; gain scheduled flight control; gain scheduled thrust vector controller; launch vehicles; linear fractional transformations; linear parameter varying; mu-analysis; single axis attitude thrust vector control; uncertain parameter space; Aerodynamics; Aerospace control; Atmospheric modeling; Attitude control; Contracts; Interpolation; Robust control; Space vehicles; Stability; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
  • Conference_Location
    Munich
  • Print_ISBN
    0-7803-9797-5
  • Electronic_ISBN
    0-7803-9797-5
  • Type

    conf

  • DOI
    10.1109/CACSD-CCA-ISIC.2006.4777098
  • Filename
    4777098