• DocumentCode
    2437571
  • Title

    Stabilization of inverted pendulum by neuro-control

  • Author

    Omatu, Sigeru ; Ide, Tatuya

  • Author_Institution
    Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
  • Volume
    4
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    2367
  • Abstract
    In this paper, we consider stabilization of an inverted pendulum which can be controlled by moving a cart in an intelligent way. Here we adopt a fuzzy control to swing up the pendulum from the bottom and switch the control law from fuzzy control to linear quadratic optimal control after the pendulum approaches to an upper position. But there is some fluctuation or offset in a position even if we use the linear quadratic control law. In order to remove these phenomena, we use a neuro-controller. The experimental results show the effectiveness of the present approach
  • Keywords
    control system analysis; fuzzy control; intelligent control; linear quadratic control; neurocontrollers; stability; fuzzy control; intelligent control; inverted pendulum; linear quadratic optimal control; neurocontrol; stabilization; Control systems; Friction; Fuzzy control; Gravity; Information science; Intelligent systems; Microcomputers; Optimal control; Position measurement; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374589
  • Filename
    374589