NDLI: Identification of ferrite core inductors parameters by evolutionary algorithms

Content Provider	IEEE Xplore Digital Library
Author	Stoyka, K. Di Capua, G. Della Cioppa, A. Femia, N. Spagnuolo, G.
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. Eng., Electr. Eng. & Appl. Math., Univ. of Salerno, Fisciano, Italy (Stoyka, K.; Di Capua, G.; Della Cioppa, A.; Femia, N.; Spagnuolo, G.)
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.
Starting Page	1648
Ending Page	1653
File Size	549173
Page Count	6
File Format	PDF
e-ISBN	9781479966493
DOI	10.1109/INDIN.2015.7281981
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-22
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature measurement Parameter estimation Thermal resistance Core loss Optimized production technology Differential Evolution Genetic Algorithm Power Inductors Evolutionary algorithms Inductors Parameters Identification
Content Type	Text
Resource Type	Article

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