Real Coded Genetic Algorithm for Jiles–Atherton Model Parameters IdentificationReportar como inadecuado




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* Corresponding author 1 GRUCAD - Grupo de concepção e analise de dispositivos eletromagnéticos

Abstract : The parameters set of the Jiles–Atherton hysteresis model is identified by using a real coded genetic algorithm. The parameters identification is performed by minimizing the mean squared error between experimental and simulated magnetic field curves. The procedure is validated by comparing experimental and simulated results.

Keywords : Magnetic hysteresis modeling magnetic materials parameters identification





Autor: J. V. Leite - Sergio Avila - N. J. Batistela - Walter Carpes - Nelson Sadowski - Patrick Kuo-Peng - Joan Pedro Bastos -

Fuente: https://hal.archives-ouvertes.fr/



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