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Multi‑objective Pareto and GAs nonlinear optimization approach for fyback transformer
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. (Power electronics group)ORCID iD: 0000-0002-8379-7136
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. (Power Electronics group)ORCID iD: 0000-0002-0208-9112
2019 (English)In: Electrical engineering (Berlin. Print), ISSN 0948-7921, E-ISSN 1432-0487, Vol. 101, no 3, p. 995-1006Article in journal (Refereed) Published
Abstract [en]

Design and optimization of high-frequency inductive components is a complex task because of the huge number of variables to manipulate, the strong interdependence and the interaction between variables, the nonlinear variation of some design variables as well as the problem nonlinearity. This paper proposes a multi-objective design methodology of a 200-W flyback transformer in continuous conduction mode using genetic algorithms and Pareto optimality concept. The objective is to minimize loss, volume and cost of the transformer. Design variables such as the duty cycle, the winding configuration and the core shape, which have great effects on the former objectives but were neglected in previous works, are considered in this paper. The optimization is performed in discrete research space at different switching frequencies. In total, 24 magnetic materials, 6 core shapes and 2 winding configurations are considered in the database. Accurate volume and cost models are also developed to deal with the optimization in the discrete research space. The bi-objective (loss–volume) and tri-objective (loss–volume–cost) optimization results are presented, and the variations of the design variables are analyzed for the case of 60 kHz. An example of a design (30 kHz) is experimentally verified. The registered efficiency is 88% at full load.

Place, publisher, year, edition, pages
Germany: Springer Berlin/Heidelberg, 2019. Vol. 101, no 3, p. 995-1006
Keywords [en]
Genetic algorithms, NSGAII, Pareto front, Flyback converter, Transformer, Core loss, Winding loss
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-37384DOI: 10.1007/s00202-019-00836-3Scopus ID: 2-s2.0-85074033042OAI: oai:DiVA.org:miun-37384DiVA, id: diva2:1354733
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WIRICAvailable from: 2019-09-26 Created: 2019-09-26 Last updated: 2019-11-15Bibliographically approved

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Barg, SobhiBertilsson, Kent
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