Affiliations: [a] Department Electrical Engineering, University of Oum
El-Bouaghi, Constantine, Algeria | [b] Department Electrical Engineering, LEC laboratory,
University of Constantine, Constantine, Algeria | [c] IREENA, LRTI-IUT-CRTT, Saint-Nazaire, France
Correspondence:
[*]
Corresponding author: Samia Amrane, Department Electrical
Engineering, University of Oum El-Bouaghi, Constantine, Algeria. Tel./Fax: +213
31 81 90 13; E-mail: [email protected]
Abstract: In this paper, we present a model dedicated to the resolution of the
inverse problem concerning the design and the dimensioning of an inductor which
generates a desired magnetic field. The algorithms of optimization are combined
with a semi analytical model which is based on the coupled circuit's theory.
The latter makes it possible to predict the distribution of the currents
density in the turns of the inductor and then to determine its electrical
resistance and inductance. Therefore, it lends itself well to the optimization
of the inductor parameters. A comparative study between the use of a
deterministic algorithm and another stochastic type of Simulated Annealing will
be presented. The results obtained show that this approach is effective,
precise and especially very fast for the optimization of the inductor
parameters.
Keywords: Inductor design, magnetic field, semi analytical, coupled circuits, inverse problem, deterministic and stochastic algorithm of optimization
