• DocumentCode
    1799955
  • Title

    Applications of neural networks for control of a double inverted pendulum

  • Author

    Arbo, Mathias H. ; Raijmakers, Paul A. ; Mladenov, Valeri M.

  • Author_Institution
    Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • fYear
    2014
  • fDate
    25-27 Nov. 2014
  • Firstpage
    89
  • Lastpage
    92
  • Abstract
    A study regarding the swing-up and stabilization problem of a double pendulum on a cart is presented. Current methods of feed forward control, energy based control, and passivity based control are used to select a design for the swing-up controller. The stabilization is done using an LQR controller. The nonlinear controller is analyzed with respect to being approximated by a neural network [1].
  • Keywords
    feedforward; neurocontrollers; nonlinear control systems; pendulums; stability; LQR controller; cart; double inverted pendulum; energy based control; feed forward control; neural networks; nonlinear controller; passivity based control; stabilization problem; swing-up controller; swing-up problem; Control systems; Educational institutions; Feeds; Neural networks; Robustness; Simulation; Training; Feed forward systems; neural networks; nonlinear control systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering (NEUREL), 2014 12th Symposium on
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4799-5887-0
  • Type

    conf

  • DOI
    10.1109/NEUREL.2014.7011468
  • Filename
    7011468