• DocumentCode
    2519267
  • Title

    Coupling the electromagnetic inverse problem based on genetic algorithms with Moment´s method for EMC of circuits

  • Author

    Ben Hadj Slama, Jaleleddine ; Saidi, Sofiene

  • Author_Institution
    LSE, Ecole Nat. des Ing. de Sousse, Sousse, Tunisia
  • fYear
    2010
  • fDate
    26-28 April 2010
  • Firstpage
    709
  • Lastpage
    714
  • Abstract
    In this paper, we present the inverse problem in electromagnetism based on the Genetic Algorithm method. We apply then, this method to structures having big dimension circuits and we show limits of this method in that case of structures. We propose after, a new technique which is based on the coupling of the inverse method in electromagnetism with the Moment´s method. The proposed hybrid method is implemented and is validated on simple structures by referring to simulation results made with the numerical software NEC. Results are compared to those obtained by the inverse electromagnetic method. Results analysis show that the proposed hybrid method is more appropriate to structures with big dimension circuits and with rectangular loops.
  • Keywords
    electromagnetic compatibility; genetic algorithms; inverse problems; method of moments; EMC; NEC; electromagnetic compatibility; electromagnetic inverse problem; genetic algorithms; moment method; numerical software; Coupling circuits; Electromagnetic compatibility; Electromagnetic coupling; Electromagnetic fields; Electromagnetic measurements; Electromagnetic modeling; Electromagnetic radiation; Genetic algorithms; Inverse problems; Moment methods; Electromagnetic inverse problem; Genetic Algorithms method; Moment method; equivalent electromagnetic dipole; near-field; radiated emissions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MELECON 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference
  • Conference_Location
    Valletta
  • Print_ISBN
    978-1-4244-5793-9
  • Type

    conf

  • DOI
    10.1109/MELCON.2010.5475988
  • Filename
    5475988