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Softcomputing for the identification of the Jiles-Atherton model parameters

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2 Author(s)
Riganti Fulginei, F. ; Dipt. di Elettronica Applicata, Univ. degli Studi Roma Tre, Italy ; Salvini, A.

This paper presents a Jiles-Atherton hysteresis model identification method based on a partnership of heuristic techniques and fuzzy logic (softcomputing). Two different softcomputing approaches are proposed and analyzed: a partnership between genetic algorithms (GAs) and fuzzy logic (FL) and one between GAs and simulated annealing (SA). Validations of both symmetric (saturated or minor loops) and asymmetric loops are described.

Published in:

Magnetics, IEEE Transactions on  (Volume:41 ,  Issue: 3 )

Date of Publication:

March 2005

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