Real Coded Genetic Algorithm for Jiles–Atherton Model Parameters Identification

J. V. Leite (1) , Sergio Luciano Avila (1) , N. J. Batistela (1) , Walter P. Carpes (1) , Nelson Sadowski (1) , Patrick Kuo-Peng (1) , Joan Pedro A. Bastos (1)

1 GRUCAD - Grupo de concepção e analise de dispositivos eletromagnéticos

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.

Mots clés: Magnetic hysteresis modeling; magnetic materials; parameters identification

Domaines: Electromagnétisme; Optimisation et contrôle [math.OC]

J. V. Leite, Sergio Luciano Avila, N. J. Batistela, Walter P. Carpes, Nelson Sadowski, et al.. Real Coded Genetic Algorithm for Jiles–Atherton Model Parameters Identification. IEEE Transactions on Magnetics, 2004, Volume 40, Issue 2, Part 2, pp.888-891. ⟨10.1109/TMAG.2004.825319⟩. ⟨hal-00125380⟩