• DocumentCode
    2330695
  • Title

    Fuzzy CMAC control design for an airbreathing hypersonic cruise vehicle

  • Author

    Binbin, Yan ; Cunkan, Lu ; Weiwei, Yu ; Jie, Yan

  • Author_Institution
    Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    298
  • Lastpage
    301
  • Abstract
    This paper proposes the implementation of fuzzy cerebellar model arithmetic computer (FCMAC) neural network for altitude and velocity tracking control of the longitudinal model of an airbreathing hypersonic cruise vehicle (AHCV) which has an integrated airframe-propulsion system configuration. A set of nonlinear longitudinal equations of motion for the vehicle which include the CFD-generated aerodynamic, propulsion, and coupled aero propulsion data are developed. A FCMAC controller and its learning arithmetic are designed according to the feature of the hypersonic cruise vehicle. Simulation results demonstrate the effectiveness of FCMAC control design in tracking altitude and velocity commands.
  • Keywords
    aircraft control; attitude control; cerebellar model arithmetic computers; control system synthesis; fuzzy control; motion control; neurocontrollers; velocity control; CFD-generated aerodynamic; airbreathing hypersonic cruise vehicle; altitude tracking control; fuzzy cerebellar model arithmetic computer control design; integrated airframe-propulsion system configuration; learning arithmetic; longitudinal model; neural network; nonlinear longitudinal equations; velocity tracking control; Computer networks; Control design; Digital arithmetic; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Propulsion; Vehicles; Velocity control; airbreathing hypersonic cruise vehicle; fuzzy CMAC; tracking control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138209
  • Filename
    5138209