• DocumentCode
    3662541
  • Title

    Identification of ferrite core inductors parameters by evolutionary algorithms

  • Author

    Kateryna Stoyka;Giulia Di Capua;Antonio Della Cioppa;Nicola Femia;Giovanni Spagnuolo

  • Author_Institution
    Department of Information Engineering, Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, Fisciano (SA), 84084 Italy
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1648
  • Lastpage
    1653
  • Abstract
    This paper discusses the identification of Ferrite Core (FC) power inductors parameters in the real operating conditions relevant to Switch-Mode Power Supplies starting from experimental measurements. A novel method for parameters identification is proposed, based on Evolutionary Algorithms (EAs) and on the analysis of inductors non-linear behavior. Two EAs, the Genetic Algorithm and the Differential Evolution, are investigated and compared. The results of the proposed method are experimentally validated by means of a buck converter evaluation board.
  • Keywords
    "Inductors","Optimized production technology","Parameter estimation","Temperature measurement","Thermal resistance","Core loss"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2015 IEEE 13th International Conference on
  • ISSN
    1935-4576
  • Electronic_ISBN
    2378-363X
  • Type

    conf

  • DOI
    10.1109/INDIN.2015.7281981
  • Filename
    7281981
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3662541