DocumentCode
1247372
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
Volume
41
Issue
3
fYear
2005
fDate
3/1/2005 12:00:00 AM
Firstpage
1100
Lastpage
1108
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;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2004.843345
Filename
1406099
Link To Document