• DocumentCode
    619683
  • Title

    Research on disturbance in nearspacevehicle longitudinal trajectory system

  • Author

    He Nai-bao ; Gao Qian ; Gong Cheng-long ; Jiang Chang-sheng

  • Author_Institution
    Sch. of Electr. Eng., Huaihai Inst. of Techology, Lianyungang, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    159
  • Lastpage
    162
  • Abstract
    Considering the severe changes of aero-dynamic parameters and susceptibility on the external disturbances of nearspace vehicle (NSV), a backstepping control strategy with robust adaptive dynamic surface is proposed in this paper for the disturbance problem in the NSV longitudinal trajectory system during the hypersonic process. Firstly, the complex nonlinear longitudinal dynamic model is transformed into nonlinear affine model by using the input-output feedback linearization method. Meanwhile, the “computer explosion“ in the computation procedures for derivatives is avoided with the estimation of the virtual control law in one-order low pass filter. Then,the robustness item in the virtual controller ,which combined with approximation capability of neural network, is used to eliminate the parameter uncertainties and external disturbances in NSV. The simulation results show the improved robustness in this method with reduced complexity.
  • Keywords
    adaptive control; aerodynamics; approximation theory; control engineering computing; low-pass filters; neurocontrollers; robust control; space vehicles; trajectory control; NSV longitudinal trajectory system; aerodynamic parameters; approximation capability; backstepping control strategy; complex nonlinear longitudinal dynamic model; computer explosion; external disturbances; hypersonic process; input-output feedback linearization method; nearspacevehicle longitudinal trajectory system; neural network; one-order low pass filter; robust adaptive dynamic surface; virtual control law; Interference; Mathematical model; Neural networks; Nonlinear systems; Robustness; Vehicle dynamics; Vehicles; Nearspace Vehicle; Robust Control; dynamic surface control; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6560912
  • Filename
    6560912