DocumentCode :
29450
Title :
Nonideal Smoothing Transformer for Effective Differential Mode Noise Reduction in an SMPS
Author :
Stahl, Joachim ; Albach, Manfred
Author_Institution :
Dept. of Electromagn. Fields, FriedrichAlexander-Univ. of Erlangen-Nuremberg, Erlangen, Germany
Volume :
29
Issue :
6
fYear :
2014
fDate :
Jun-14
Firstpage :
2774
Lastpage :
2786
Abstract :
An effective way of reducing differential mode (dm) noise of switching converters is still an open issue. Here, a thorough investigation of the filtering technique with integrated magnetics, taking nonideal effects into account is presented. Parasitic components and component variations due to tolerances are considered, and the obtainable attenuation is calculated. This paper also gives an analysis of the optimized coupling factor, as well as the distribution of the capacitance between the two capacitors involved. The entire analysis is done in the frequency domain. Therefore, a proper model is given. In order to show the relevance of this paper, a practical validation is presented. Finally, a dm noise comparison between the regular boost converter and the boost converter with an incorporated smoothing transformer in a real hardware prototype for the input stage of a laptop adapter shows the dm filtering effectiveness of the smoothing transformer.
Keywords :
filtering theory; power transformers; smoothing circuits; switching convertors; SMPS; component variations; differential mode noise reduction; dm filtering technique; frequency domain analysis; integrated magnetics; nonideal smoothing transformer; optimized coupling factor analysis; parasitic components; regular boost converter; Capacitance; Capacitors; Couplings; Inductance; Inductors; Noise; Smoothing methods; Boost; coupled inductor; differential mode; power factor correction (PFC); smoothing transformer;
fLanguage :
English
Journal_Title :
Power Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8993
Type :
jour
DOI :
10.1109/TPEL.2013.2272471
Filename :
6555950
Link To Document :
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