• DocumentCode
    2823751
  • Title

    Dynamic inversion based on neural network applied to nonlinear flight control system

  • Author

    Qian, Kechang ; Chen, Zili

  • Author_Institution
    Ordance Eng. Coll., Shijiazhuang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    21-24 May 2010
  • Abstract
    Modern flight control system is always a complicated nonlinear flight control system, this paper presents a control method of dynamic inversion based on neural network applied to nonlinear flight control system. Through analyzes the decoupling inversion and tracking principle of neural network, a dynamic neural network is presented, which consist of static neural network and integrators. Based on the dynamic neural network, a control method of dynamic inversion used for multi-variable nonlinear flight control system is designed, and simulation of flight control system of power parafoil is made. Simulation results demonstrate that the control method has strong ability of control and robustness.
  • Keywords
    aerospace control; neural nets; nonlinear control systems; decoupling inversion; dynamic inversion; dynamic neural network; integrators; multivariable nonlinear flight control system; neural network tracking principle; power parafoil; static neural network; Aerospace control; Aerospace engineering; Arithmetic; Control systems; Educational institutions; Electronic mail; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; dynamic inversion; flight control system; neural network; nonlinear system control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication (ICFCC), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5821-9
  • Type

    conf

  • DOI
    10.1109/ICFCC.2010.5497341
  • Filename
    5497341