Genetic programming approach for identification of ferrite inductors power loss models

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@InProceedings{DiCapua:2016:IECON,
  author =       "G. {Di Capua} and N. Femia and M. Migliaro and 
                 K. Stoyka",
  booktitle =    "IECON 2016 - 42nd Annual Conference of the IEEE
                 Industrial Electronics Society",
  title =        "Genetic programming approach for identification of
                 ferrite inductors power loss models",
  year =         "2016",
  pages =        "1112--1117",
  abstract =     "This paper discusses the identification of power loss
                 models of ferrite core power inductors for
                 high-power-density Switch Mode Power Supplies. A novel
                 method, based on Genetic Programming (GP) approach, is
                 herein proposed. It is aimed at discovering new loss
                 models, starting from experimental measurements and
                 taking into account all the operating conditions, such
                 as switching frequency, inductor current ripple and
                 volt-microsecond product, average and rms inductor
                 current values, even for possible inductor operation in
                 partial saturation. The behavioural models obtained by
                 means of the GP approach are in good agreement with
                 experimental measurements.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/IECON.2016.7793000",
  month =        oct,
  notes =        "Also known as \cite{7793000}",
}

Genetic Programming entries for G Di Capua Nicola Femia Mario Migliaro K Stoyka

Citations