DocumentCode
953154
Title
Real coded genetic algorithm for Jiles-Atherton model parameters identification
Author
Leite, J.V. ; Avila, S.L. ; Batistela, N.J. ; Carpes, W.P., Jr. ; Sadowski, N. ; Kuo-Peng, P. ; Bastos, J.P.A.
Author_Institution
Univ. Fed. de Santa Catarina, Florianopolis, Brazil
Volume
40
Issue
2
fYear
2004
fDate
3/1/2004 12:00:00 AM
Firstpage
888
Lastpage
891
Abstract
The parameters set of the Jiles-Atherton hysteresis model is identified by using a real coded genetic algorithm. The parameters identification is performed by minimizing the mean squared error between experimental and simulated magnetic field curves. The procedure is validated by comparing experimental and simulated results.
Keywords
genetic algorithms; magnetic fields; mean square error methods; minimisation; parameter estimation; Jiles-Atherton model; experimental magnetic field curves; hysteresis model; magnetic hysteresis modeling; magnetic materials; mean squared error; parameters identification; real coded genetic algorithm; simulated magnetic field curves; Curve fitting; Genetic algorithms; Inverse problems; Magnetic field measurement; Magnetic fields; Magnetic hysteresis; Magnetic materials; Magnetization; Optimization methods; Parameter estimation;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2004.825319
Filename
1284557
Link To Document