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
fDate :
3/1/2004 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2004.825319
