• DocumentCode
    1592860
  • Title

    Application of intelligence technology in super-maneuverable flight control

  • Author

    Jie, LI ; Kai, Liu ; Hang, XU ; Li, LI

  • Author_Institution
    The First Aeronautical Institute of Air Force
  • fYear
    2008
  • Firstpage
    1185
  • Lastpage
    1188
  • Abstract
    This paper introduces the control strategy and method of non-linear dynamic inversion. Depending on the thought of dynamic inversion, the mathematical model of super-maneuverable aircraft is set up and the simulation curves are produced. Through analyzing the curves, we can draw out the feasibility and limitation of non-linear dynamic inversion.This paper introduces below contents :the feasibility of dynamic inversion in super-maneuverable flight; the modeling error and inversion error; the influence on super-maneuverable flight caused by uncertain factors. To solve above problems, the paper points out two kinds of methods. One is fuzzy self-adaptive technology. It describes the characteristic of fuzzy controller and points out its limitation that it can¿t be used to eliminate the error caused by uncertain factors. The other is neural network technology. It describes the dynamic inversion off-line neural network controller. On-line neural network controller eliminates error. At last the conclusion is gotten that neural network is more advantageous and the development direction of super-maneuverable flight.
  • Keywords
    Aerodynamics; Aerospace control; Aircraft propulsion; Error correction; Fuzzy control; Mathematical model; Neural networks; Nonlinear dynamical systems; Nonlinear equations; State feedback; Super-maneuverable flight, dynamic inversion; fuzzy self-adaptive, neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics, 2008 IEEE Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1675-2
  • Electronic_ISBN
    978-1-4244-1676-9
  • Type

    conf

  • DOI
    10.1109/RAMECH.2008.4690876
  • Filename
    4690876