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Identification of the Jiles-Atherton model histeresis parameters by using optimization procedure

Identyfikatory
Warianty tytułu
Konferencja
Computer Applications in Electrical Engineering 2010 [Poznań, April 19-21, 2010]
Języki publikacji
EN
Abstrakty
EN
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 (PSO) method has been applied. The computer code has been elaborated using Delphi environment. Five design variables have been assumed. Two different materials has been considered. Selected results of the calculation are presented and discussed. The results of the optimization have been compared to experimental ones.
Rocznik
Tom
Strony
103--110
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
autor
  • Poznan University of Technology
Bibliografia
  • [1] Kennedy J., Eberhart R., Particle Swarm Optimization, Proceedings of the International Conference on Neutral Networks, Perth, Australia, 1995, pp. 1942-1948.
  • [2] Aparecida de Pina A., de Souza Leite Pires de Lima B., Albrecht C. H., Jacob B. P., Parameter Selection and Convergence Analysis of the PSO Algorithm Applied to the Design of Riser, International Conference on Engineering Optimization EngOpt 2008, Rio de Janeiro, 1 - 5 June 2008, pp. 52-60.
  • [3] Eberhard R., Shi Y., Comparing inertia weights and construction factors in Particle Swarm Optimization, Proceedings of the IEEE International Conference on Evolutionary Computation, San Diego, 2000, pp. 84-88.
  • [4] Engelbrecht A.P., Computational Intelligence, John Wiley & Sons Ltd., 2007.
  • [5] Sevkli Z., Erdogan Sevilgen F., Keles Ó., Practicle Swarm Optimization for the orienteering problem, The 21st International Symposium on Computer Information Sciences ISCIS 2006, Istanbul, 1 - 3 November 2006, pp. 134-143.
  • [6] Dąbrowski M., Rudeński A., Efectiveness comparasion of non-evolutionary non-deterministic optimization methods in design electrical machines, Computer Applications in Electrical Engineering, Electrical Engineering Committee of Polish Academy of Sciences, Published by Poznań University of Technology, Poznan 2008, pp. 12-23.
  • [7] Hamel A., Mohellebi H., Feliachi M., Hocini F., Particle swarm optimization for reconstruction of two-dimensional groove profiles in non destructive evaluation, Book of Digest of the XIV International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF’2009, Arras, 10 - 12 September 2009, pp. 219-220.
  • [8] Moossouni F., Brisset S., Brochet P., Comparison of two multi-agent algorithms: ACO and PSO for the optimization of brushless DC wheel motor, Springer 2008, Studies in Computational Intelligence, Intelligent Computer Techniques in Applied Electromagnetics, May 2008, pp. 3-10.
  • [9] Ivanyi A., Hysteresis models in electromagnetic computation, Akademiai Kiadó, Budapest, 1997.
  • [10] Szczygłowski J., Influence of eddy currents on magnetic hysteresis loops in soft magnetic material, Journal of Magnetism and Magnetic Materials 223, pp.97-102, 2001.
  • [11] Łacheciński S., Zastosowanie mieszanych algorytmów optymalizacji w projektowaniu niskonapięciowych silników indukcyjnych dużych mocy, Rozprawa Doktorska, Politechnika Łódzka, Łódź 2008.
  • [12] Nowak L., Radziuk K., Knypiński Ł., Optimization of an electromagnetic linear actuator operating in error actuated control system, Computer Applications in Electrical Engineering, Electrical Engineering Committee of Polish Academy of Sciences, Published by Poznań University of Technology, Issue 56, Poznan, 2007, pp. 49-60.
  • [13] Sujka P., Polowo-obwodowa analiza przetworników elektromagnetycznych z uwzględnieniem histerezy magnetycznej, Rozprawa Doktorska, Politechnika Poznańska, Poznań 2007.
  • [14] http://www.seen.com.pl/, August 2010.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPP4-0002-0052
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