• DocumentCode
    3356651
  • Title

    Qualitative modelling for dynamic magnetic hysteresis

  • Author

    Mordjaoui, M. ; Chabane, M. ; Boudjema, B.

  • Author_Institution
    Electr. Eng. Dept., Univ. of Skikda, Skikda
  • fYear
    2007
  • fDate
    10-12 Sept. 2007
  • Firstpage
    226
  • Lastpage
    231
  • Abstract
    The studies of practical magnetic systems with hysteresis phenomenon are of great importance in electrical engineering. As an alternative to physical and empirical model, a qualitative model was constructed using adaptive fuzzy logic called adaptive network fuzzy inference system (ANFIS). The proposed model demonstrates the modelling and accurate capability of a hybrid system to a nonlinear dynamic hysteresis. It has been used to model the hysteresis curve versus frequency. Firstly, mathematical modeling of the dynamic hysteresis is established and then, data gathered from this model is employed to create an ANFIS model of the system. Both mathematical and ANFIS model is compared, it is shown that the proposed model can restore hysteresis cycles with a little RMS error.
  • Keywords
    electrical engineering computing; fuzzy logic; fuzzy neural nets; inference mechanisms; magnetic hysteresis; magnetic materials; adaptive fuzzy logic; adaptive network fuzzy inference system; dynamic magnetic hysteresis; electrical engineering; nonlinear dynamic hysteresis; Fuzzy logic; Fuzzy neural networks; Magnetic anisotropy; Magnetic hysteresis; Magnetic materials; Mathematical model; Neural networks; Nonlinear dynamical systems; Perpendicular magnetic anisotropy; Predictive models; ANFIS; Preisach hysteresis model; dynamic behaviour; magnetic core;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Power Electronics, 2007. ACEMP '07. International Aegean Conference on
  • Conference_Location
    Bodrum
  • Print_ISBN
    978-1-4244-0890-0
  • Electronic_ISBN
    978-1-4244-0891-7
  • Type

    conf

  • DOI
    10.1109/ACEMP.2007.4510507
  • Filename
    4510507