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Parameters Identification for Jiles-AthertonModel using Genetic Algorithms

Auteurs : M. Zergoug, M. Amir, Y. BENNEDJOUE
Année : 2015
Domaine : Electrotechnique
Type : Communication
Conférence: 4th International Conference on Power Science and Engineering (ICPSE 2015),
Résumé en PDF : (résumé en pdf)
Fulltext en PDF : (.pdf)
Mots clés : Hysteresis Loop, Ferromagnetic Materials, genetic algorithms (GA), Jiles-Atherton Model.

Résumé :

The aims of this work is the modeling of the hysteresis loop in ferromagneticmaterials, and allowed to highlight of the difficulty that exists in the choice of an model,both accurate and fast, for implantation in a calculation code field. Through this work, wetried to implement the means to incorporate the hysteresis phenomenon; we proposed aprocedure for the identification and optimization of the hysteresis loop by geneticalgorithms (GA). The obtained results by this method permit to get the hysteresis loopusing numerical simulation techniques. Experimental cycles on different samples allowedto us to identify the different optimized parameters and determine the GA approach on thecalculation of various parameters of the hysteresis loop.