• DocumentCode
    506785
  • Title

    Indirect adaptive fuzzy control of satellite based on input-output stability theory

  • Author

    Guang, Sun ; Wei, Huo

  • Author_Institution
    Seventh Res. Div., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    567
  • Lastpage
    571
  • Abstract
    Based on input-output stability theory, a multi-input multi-output indirect adaptive fuzzy tracking control method for satellite attitude systems with parametric uncertainty and external disturbance is presented. First, a nonlinear controller is designed based on the satellite precision model, and stability of the closed-loop system is analyzed; then, because of contained the parametric uncertainty and external disturbance in the model, an adaptive fuzzy controller is constructed through using fuzzy logic system to approximate the uncertain section. Last, it is proved that the proposed controller can make the satellite track to the located place, and force the tracking error to converge to a small neighborhood of the origin. Simulation results show the satisfied control accuracy and robustness to the model uncertainty.
  • Keywords
    adaptive control; aircraft control; artificial satellites; attitude control; closed loop systems; fuzzy control; fuzzy logic; input-output stability; nonlinear control systems; uncertain systems; closed-loop system stability; external disturbance; fuzzy logic system; input-output stability theory; multiinput multioutput indirect adaptive fuzzy tracking control; nonlinear controller; parametric uncertainty; satellite attitude control; satellite precision model; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear control systems; Programmable control; Satellites; Stability; Uncertainty; adaptive fuzzy control; input-output stability; satellite attitude control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358317
  • Filename
    5358317