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M. Dabrowski (2009)
Efectiveness comparasion of non-evolutionary non-deterministic optimization methods in design electrical machinesComputer Applications in Electrical Engineering
S. Ali Pourmousavi (2010)
Real-time energy management of a stand-alone hybrid wind-microturbine energy system using particle swarm optimizationIEEE Transactions on Sustainable Energy, 1
S. Boukhtache (2009)
Optimized model for magnetic hysteresis in silicon-iron sheets by using the simulated annealing algorithmInternational Journal of Applied Electromagnetics and Mechanics, 30
A. Benabou (2003)
Comparasion of Preisach and Jiles-Atherton models to take into account hysteresis phenomenon for finite element analysisJournal of Magnetism and Magnetic Materials, 261
Application of a PSO algorithm for identification of the parameters of Jiles-Atherton hysteresis model In the paper an algorithm and computer code for the identification of the hysteresis parameters of the Jiles-Atherton model have been presented. For the identification the particle swarm optimization method (PSO) has been applied. In the optimization procedure five design variables has been assumed. The computer code has been elaborated using Delphi environment. Three types of material have been examined. The results of optimization have been compared to experimental ones. Selected results of the calculation for different material are presented and discussed.
Archives of Electrical Engineering – de Gruyter
Published: Jun 1, 2012
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