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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.

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