• DocumentCode
    2053602
  • Title

    Motion mode control in double inverted pendulum system

  • Author

    Xiao, Jun ; Zhang, Shi ; Xiao, Jizhong ; Xi, Ning

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • fYear
    2005
  • fDate
    24-28 July 2005
  • Firstpage
    831
  • Lastpage
    836
  • Abstract
    This paper presents a motion mode control method for double inverted pendulum system which is based on fuzzy logic and neural network. Inverted pendulum is well known as a testing bed for various controller. However, it is very difficult to design and realize a single stage fuzzy controller for the inverted pendulum system because of system multivariable. After the description of the double inverted pendulum system, a fuzzy neural controller is presented which is based on the proposed fuzzy composed variable and the parameters are optimized by back propagation algorithm in neural network. Then motion modes of the system are defined and adjusted online. Experimental implementation and testing prove its validity
  • Keywords
    backpropagation; fuzzy control; fuzzy logic; motion control; neurocontrollers; nonlinear control systems; pendulums; back propagation algorithm; double inverted pendulum system; fuzzy logic; fuzzy neural control; motion mode control; neural network; Control systems; Educational institutions; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Mathematical model; Mechanical variables control; Motion control; Neural networks; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-9047-4
  • Type

    conf

  • DOI
    10.1109/AIM.2005.1511112
  • Filename
    1511112