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Reseach Article

Resolution of Inverse Problems for Electromagnetic Levitated and Guided Systems using the Finite Element Method and the Genetic Algorithms

by Rima Delimi, M. H. Latreche
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 7
Year of Publication: 2013
Authors: Rima Delimi, M. H. Latreche
10.5120/13261-0740

Rima Delimi, M. H. Latreche . Resolution of Inverse Problems for Electromagnetic Levitated and Guided Systems using the Finite Element Method and the Genetic Algorithms. International Journal of Computer Applications. 76, 7 ( August 2013), 30-34. DOI=10.5120/13261-0740

@article{ 10.5120/13261-0740,
author = { Rima Delimi, M. H. Latreche },
title = { Resolution of Inverse Problems for Electromagnetic Levitated and Guided Systems using the Finite Element Method and the Genetic Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 7 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number7/13261-0740/ },
doi = { 10.5120/13261-0740 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:17.254894+05:30
%A Rima Delimi
%A M. H. Latreche
%T Resolution of Inverse Problems for Electromagnetic Levitated and Guided Systems using the Finite Element Method and the Genetic Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 7
%P 30-34
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In an inverse problem, we are asked to find those values of the source that would give us a required performance. In this paper a technique based on the use of finite element method (FEM) and the genetic algorithms method (GA) in the solution of the inverse problem of an electromagnetic levitated and guided system is investigated, for that an inverse calculation of the current excitation was realized to have a constant levitation force.

References
  1. J. Delamare,"Suspensions magnétiques partiellement passives "Thése de Doctorat soutenue au LEG Grenoble, France, 1994.
  2. Y. J. Favennec, "Modélisation numérique en chauffage par induction. Analyse inverse et optimisation", thèse de Doctorat, Paris, 2002.
  3. Olivier Barre, ''Contribution à l'étude des formulations de calcul de la force magnétiques en magnétostatique, approche numérique et validation expérimentale '', Thèse de Doctorat, Ecole centrale de Lille Université des sciences et technologies de Lille, 15 Décembre 2003.
  4. D'Arrigo Aldo, Rufer Alfred,"Design of an integrated electromagnetic levitation and guidance system for Swiss Metro", Swiss Federal Institute of Technology, Industrial Electronics Laboratory, 1999.
  5. J. P. A. Bastos, N. Sadowski, "Electromagnetic modeling by finite element methods", Library of Congress Cataloging-in-Publication Data, New York, USA, 2003.
  6. A. Benhama, A. C. WiIIiamson, A. B. J. Reece," Virtual work approach to the computation of magnetic force distribution from finite element field solutions", IEE Proc-Electr. Power Appl. , Vol. 147, No. 6. November 2000.
  7. Y. Lefèvre, F. Messine, J. Fontchastagner et X. T. H. BUI, '' Association de différentes méthodes optimisation et de modèles de calcul du champ magnétique '', dans Electro-technique du Futur – EF'2007, Toulouse, Sept. 6-7- 2007
  8. Julien FONTCHASTAGNER, '' Résolution du problème inverse de conception d'actionneurs électromagnétiques par association de méthodes déterministes d'optimisation globale avec des modèles analytiques et numériques'', Thèse de Doctorat, Université de Toulouse, 2007.
  9. L. Saludjian , J. L. Coulombi , " Genetic algorithm and Taylor development of Finite Element solution for shape optimization of electromagnetic devices ", IEEE Trans. On Magnetics, vol. 34, n°5, Sept. 1998, pp. 2841-2844.
  10. O. Hajji, S. Brisset, P. Brochet, " A stop criterion to accelerate magnetic optimization process using genetic algorithms and Finite Element analysis ", IEEE Trans. On Magnetics, vol. 39, n°3, May. 2003, pp. 1297-1300.
Index Terms

Computer Science
Information Sciences

Keywords

Inverse problems Finite element method Genetic algorithms Magnetic levitation force