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.
Publié le : 2004-03-05
Classification:
Magnetic hysteresis modeling,
magnetic materials,
parameters identification,
[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism,
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
@article{hal-00125380,
author = {Leite, J. V. and Avila, Sergio, and Batistela, N. J. and Carpes, Walter, and Sadowski, Nelson and Kuo-Peng, Patrick and Bastos, Joan Pedro, },
title = {Real Coded Genetic Algorithm for Jiles--Atherton Model Parameters Identification},
journal = {HAL},
volume = {2004},
number = {0},
year = {2004},
language = {en},
url = {http://dml.mathdoc.fr/item/hal-00125380}
}
Leite, J. V.; Avila, Sergio, ; Batistela, N. J.; Carpes, Walter, ; Sadowski, Nelson; Kuo-Peng, Patrick; Bastos, Joan Pedro, . Real Coded Genetic Algorithm for Jiles–Atherton Model Parameters Identification. HAL, Tome 2004 (2004) no. 0, . http://gdmltest.u-ga.fr/item/hal-00125380/