• DocumentCode
    2307735
  • Title

    Stabilization of double inverted pendulum with self-tuning neuro-PID

  • Author

    Fujinaka, Tom ; Kishida, Yoshiyuki ; Yoshioka, Michifumi ; Omatu, Sigeru

  • Author_Institution
    Dept. of Comput. & Syst. Sci., Osaka Prefecture Univ., Japan
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    345
  • Abstract
    A self-tuning neuro-PID control architecture is proposed and applied to the stabilization of double inverted pendulum. The gain parameters of the PID controller are tuned using a neural network. The effectiveness of the proposed method is shown through simulation and experiment
  • Keywords
    intelligent control; neurocontrollers; nonlinear control systems; pendulums; position control; self-adjusting systems; stability; three-term control; tuning; double inverted pendulum; gain parameters; self-tuning neuro-PID; stabilization; Computer architecture; Control systems; Intelligent control; Neural networks; Neurons; PD control; Pi control; Proportional control; Three-term control; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.860795
  • Filename
    860795
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2307735