Title :
Softcomputing for the identification of the Jiles-Atherton model parameters
Author :
Fulginei, Francesco Riganti ; Salvini, Alessandro
Author_Institution :
Dipt. di Elettronica Applicata, Univ. degli Studi Roma Tre, Italy
fDate :
3/1/2005 12:00:00 AM
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 asymmetric loops are described.
Keywords :
fuzzy logic; genetic algorithms; magnetic hysteresis; simulated annealing; Jiles-Atherton hysteresis model identification method; Jiles-Atherton model parameters; asymmetric loop; fuzzy logic; genetic algorithm; heuristic techniques; magnetic hysteresis; optimization; simulated annealing; soft computing; symmetric loop; Biological cells; Evolution (biology); Flowcharts; Fuzzy logic; Genetic algorithms; Heuristic algorithms; Magnetic hysteresis; Magnetic materials; Merging; Simulated annealing; Genetic algorithms; magnetic hysteresis; optimization;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2004.843345
