• DocumentCode
    3647190
  • Title

    Ultracapacitor modeling and control with discrete fractional order artificial neural network

  • Author

    Grzegorz Sarwas;Dominik Sierociuk;Andrzej Dzieliński

  • Author_Institution
    Institute of Control and Industrial Electronics, Warsaw University of Technology, Koszykowa 75, 00-662, Poland
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    617
  • Lastpage
    622
  • Abstract
    In this article a new approach of using the discrete time fractional order artificial neural network controller for control of charging and discharging process for system with ultracapacitor is proposed. First, the discrete fractional order neural network for incommensurate non-linear system modeling is presented. After successful modeling of the system with ultracapacitor the neural network inverse controller, based on the presented configuration of fractional order neural network, is given. All the computer simulations are tested and compared with the results achieved on the physical device. Advantages of the proposed solution are described and discussed.
  • Keywords
    "Supercapacitors","Training","Control systems","Biological neural networks","Testing","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Carpathian Control Conference (ICCC), 2012 13th International
  • Print_ISBN
    978-1-4577-1867-0
  • Type

    conf

  • DOI
    10.1109/CarpathianCC.2012.6228720
  • Filename
    6228720