Author:
Knypiński Łukasz,Nowak Lech,Sujka Piotr,Radziuk Kazimierz
Abstract
Application of a PSO algorithm for identification of the parameters of Jiles-Atherton hysteresis modelIn 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.
Reference25 articles.
1. Real-time energy management of a stand-alone hybrid wind-microturbine energy system using particle swarm optimization;S. Ali Pourmousavi;IEEE Transactions on Sustainable Energy,2010
2. Comparasion of Preisach and Jiles-Atherton models to take into account hysteresis phenomenon for finite element analysis;A. Benabou;Journal of Magnetism and Magnetic Materials,2003
3. Optimized model for magnetic hysteresis in silicon-iron sheets by using the simulated annealing algorithm;S. Boukhtache;International Journal of Applied Electromagnetics and Mechanics,2009
4. Efectiveness comparasion of non-evolutionary non-deterministic optimization methods in design electrical machines;M. Dabrowski;Computer Applications in Electrical Engineering,2009
5. Computational Intelligence
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