
An Accurate and Efficient Approach for High‐Frequency Transformer Parameter Extraction
Author(s) -
SU Donglin,
ZHU Kaixiang,
XU Hui,
PENG Zhenzhen,
YANG Shunchuan,
LIU Yan
Publication year - 2019
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2019.06.008
Subject(s) - transformer , computer science , extraction (chemistry) , algorithm , mathematics , electrical engineering , chromatography , chemistry , engineering , voltage
Accurate parasitic parameter extraction of high‐frequency transformers is one of the key techniques to efficiently design a Switched‐mode power supply(SMPS). An approach to accurately and efficiently extract the parasitic parameters of high‐frequency transformers is proposed. The high‐frequency transformer is first decomposed into first‐order RL and second‐order RLC circuits according to inherent step response characteristics. Through the measured discharging pulse and damped oscillation responses of the high‐frequency transformer excited by a square wave, we can extract the equivalent circuit parameters through fitting the responses with Particle swarm optimization(PSO). The equivalent circuits of the high‐frequency transformer with the desired parameters are obtained for the SMPS design. We validate the effectiveness and accuracy of the proposed method with simulations and measurements.