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 symmetric loops are described.
RIGANTI FULGINEI, F., Salvini, A. (2005). Softcomputing for the Identification of the Jiles-Atherton Model Parameters. IEEE TRANSACTIONS ON MAGNETICS, 41(3), 1100-1108 [10.1109/TMAG.2004.843345].
Softcomputing for the Identification of the Jiles-Atherton Model Parameters
RIGANTI FULGINEI, Francesco;SALVINI, Alessandro
2005-01-01
Abstract
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 symmetric loops are described.File in questo prodotto:
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