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Identification of a hysteresis model parameters with genetic algorithms

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  • Chwastek, Krzysztof
  • Szczyglowski, Jan

Abstract

The paper is concerned about the application of genetic algorithms to the estimation of magnetic hysteresis model parameters, based on the description of magnetization process proposed by Jiles and Atherton. The genetic algorithm approach has been applied to estimation of model parameters for two magnetic materials – a conventional non-oriented steel and a modern amorphous material. The errors between the modelled and experimental data points on M−H plane have been determined. The results have been compared with the results obtained with the previously proposed approach, based on direct search method. It has been proved that the genetic algorithm approach results in lower percentage errors.

Suggested Citation

  • Chwastek, Krzysztof & Szczyglowski, Jan, 2006. "Identification of a hysteresis model parameters with genetic algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(3), pages 206-211.
    • Handle: RePEc:eee:matcom:v:71:y:2006:i:3:p:206-211
    DOI: 10.1016/j.matcom.2006.01.002
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    Cited by:

    1. Andriy Chaban & Marek Lis & Andrzej Szafraniec & Radoslaw Jedynak, 2020. "Application of Genetic Algorithm Elements to Modelling of Rotation Processes in Motion Transmission Including a Long Shaft," Energies, MDPI, vol. 14(1), pages 1-17, December.

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