This paper discusses the identification of Ferrite Core (FC) power inductors parameters in the real operating conditions relevant to Switch-Mode Power Supplies starting from experimental measurements. A novel method for parameters identification is proposed, based on Evolutionary Algorithms (EAs) and on the analysis of inductors non-linear behavior. Two EAs, the Genetic Algorithm and the Differential Evolution, are investigated and compared. The results of the proposed method are experimentally validated by means of a buck converter evaluation board.

Identification of Ferrite Core Inductors Parameters by Evolutionary Algorithms

STOYKA, KATERYNA;DI CAPUA, Giulia;DELLA CIOPPA, Antonio;FEMIA, Nicola;SPAGNUOLO, Giovanni
2015

Abstract

This paper discusses the identification of Ferrite Core (FC) power inductors parameters in the real operating conditions relevant to Switch-Mode Power Supplies starting from experimental measurements. A novel method for parameters identification is proposed, based on Evolutionary Algorithms (EAs) and on the analysis of inductors non-linear behavior. Two EAs, the Genetic Algorithm and the Differential Evolution, are investigated and compared. The results of the proposed method are experimentally validated by means of a buck converter evaluation board.
978-1-4799-6648-6
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4647636
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