• DocumentCode
    2649500
  • Title

    Disturbance observer based model predictive control for autopilot design of bank-to-turn missiles

  • Author

    Yang, Jun ; Li, Shihua

  • Author_Institution
    Sch. of Autom., Southeast Univ., Nanjing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    2099
  • Lastpage
    2104
  • Abstract
    The attitude control performance of the bank-to-turn (BTT) missiles are severely interrupted by heavy nonlinear crossing couplings, time-varying aerodynamic parameters, and external disturbances. A distributed composite control framework consisting of a high-level model predictive control, a low-level state feedback stabilizer, and a feedforward compensation based on disturbance observer is proposed in this article for the BTT missile autopilot design. The simulation results demonstrate that the proposed control strategy exhibits promising abilities against external disturbances, nonlinear crossing couplings and aerodynamic parameter perturbations.
  • Keywords
    attitude control; compensation; control system synthesis; distributed parameter systems; feedforward; missile control; observers; predictive control; stability; state feedback; BTT missile autopilot design; aerodynamic parameter perturbations; attitude control performance; bank-to-turn missiles; distributed composite control framework; disturbance observer; external disturbances; feedforward compensation; high-level model predictive control; low-level state feedback stabilizer; nonlinear crossing couplings; time-varying aerodynamic parameters; Aerodynamics; Couplings; Feedforward neural networks; Missiles; Observers; State feedback; Uncertainty; Autopilot Design; Bank-to-Turn Missiles; Disturbance Observer; Model Predictive Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6243029
  • Filename
    6243029