Parameter identification of Jiles–Atherton model using the chaotic optimization method

Vesna Rubežić (Faculty of Electrical Engineering – University of Montenegro, Podgorica, Montenegro)
Luka Lazović (Faculty of Electrical Engineering – University of Montenegro, Podgorica, Montenegro)
Ana Jovanović (Faculty of Electrical Engineering – University of Montenegro, Podgorica, Montenegro)

Abstract

Purpose

The purpose of this paper is to propose a chaotic optimization method for identifying the parameters of the Jiles–Atherton (J-A) hysteresis model.

Design/methodology/approach

The J-A model has five parameters which are assigned with physical meaning and whose determination is demanding. To determine these parameters, the fitness function, which represents the difference between the measured and the modeled hysteresis loop, is formed. Optimal parameter values are the values that minimize the fitness function.

Findings

The parameters of J-A model for three magnetic materials are determined. The model with the optimal parameters is validated using measured data and comparison with particle swarm optimization algorithm, genetic algorithm, pattern search and simulated annealing algorithm. The results show that the proposed method provides better agreement between measured and modeled hysteresis loop than other methods used for comparison. The proposed method is also suitable for simultaneous optimization of multiple hysteresis loops.

Originality/value

Chaotic optimization method is implemented for the first time for J-A model parameter identification. Numerical comparisons with results obtained with other optimization algorithms demonstrate that this method is a suitable alternative in parameters identification of J-A hysteresis model. Furthermore, this method is easy to implement and set up.

Keywords

Citation

Rubežić, V., Lazović, L. and Jovanović, A. (2018), "Parameter identification of Jiles–Atherton model using the chaotic optimization method", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 37 No. 6, pp. 2067-2080. https://doi.org/10.1108/COMPEL-11-2017-0496

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Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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