|Table of Contents|

EMI Noise Source Impedance Extraction Method Based on SP-DE Algorithm(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2021年04期
Page:
13-18
Research Field:
电气工程
Publishing date:

Info

Title:
EMI Noise Source Impedance Extraction Method Based on SP-DE Algorithm
Author(s):
Ma HaoPei YakangZhao YangZhang ChengSun YiqunZhou Mengxia
School of NARI Electrical and Automation,Nanjing Normal University,Nanjing 210023,China
Keywords:
noise source impedancescattering parameterDE algorithmEMI filter
PACS:
TM934.7
DOI:
10.3969/j.issn.1672-1292.2021.04.003
Abstract:
EMI filter is an effective means to suppress conducted EMI noise,and accurate noise source impedance extraction is the key to filter design. Traditional impedance extraction methods,such as the scattering parameter(SP)method,dual current probe method,etc.,can only extract the amplitude and phase information of the noise source impedance,and cannot accurately describe the impedance characteristics of the noise source. In view of this,this paper proposes a noise source impedance extraction method combining the SP method and the differential evolution(DE)algorithm. This method can accurately extract the equivalent circuit parameters of the noise source impedance and provide an important reference for its filter design. This method first obtains the noise source impedance information according to the SP method,and then uses the DE algorithm to process the impedance information to determine its equivalent circuit parameters. Finally,the EMI filter is designed according to the extracted internal impedance equivalent circuit parameters. Taking a switching power supply as an example,the filter design and conducted EMI noise suppression experiments are carried out on the basis of the method proposed in this article. The experimental results show that the filter designed on the basis of the SP-DE method has a better suppression effect of conducted EMI noise.

References:

[1] 路宏敏. 工程电磁兼容[M]. 西安:西安电子科技大学,2003:5-6.
[2]郭硕鸿. 电动力学[M]. 2版. 北京:高等教育出版社,2006:183-210.
[3]WANG S,LEE F C,ODENDAAL W G. Improving the performance of boost PFC EMI filters[C]//Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition. Miami Beach,USA,2003:368-374.
[4]WANG S,ODENDAAL W G,LEE F C. Extraction of parasitic parameters of EMI filters using scattering parameters[C]//IEEE Industry Applications Conference. Seattle,USA,2004:2672-2678.
[5]WANG S,LEE FC,ODENDAAL W G. Using scattering parameters to characterize EMI filters[C]//35th Annual Power Electronics Specialists Conference. Aachen,Germany,2004:297-303.
[6]WANG S,LEE F C,ODENDAAL W G. Characterization,evaluation,and design of noise separator for conducted EMI noise diagnosis[J]. IEEE Transactions on Power Electronics,2005,20(4):974-982.
[7]WANG S,LEE F C,ODENDAL W G. Characterization and parasitic extraction of EMI filters using scattering parameters[J]. IEEE Transactions on Power Electronics,2005,20(2):502-510.
[8]WANG S,LEE F C,WYK J D V. A study of integration of parasitic cancellation techniques for EMI filter design with discrete components[J]. IEEE Transactions on Power Electronics,2008,23(6):3094-3102.
[9]CHEN Y,ZHOU M,GENG L. Transmission impedance extraction method applied in magneto-rheological damper[J]. International Journal of Applied Electromagnetics and Mechanics,2017,56(2):1-11.
[10]HASHMI U,CHOUDHARY R,PRIOLKAR J G. Online Thevenin equivalent parameter estimation using nonlinear and linear recursive least square algorithm[C]//IEEE International Conference on Electrical,Computer and Communication Technologies. Coimbatore,India,2015:1-6.
[11]MAES H,ZIVANOVIC M. Estimating respiratory impedance at breathing frequencies using regularized least squares on forced oscillation technique measurements[J]. IEEE Transactions on Instrumentation and Measurement,2017,66(3):1-13.
[12]BOUAICHA A,ALLAGUI H,MAMI A. Parameters identification of the complex impedance model of the PEM fuel cell using Matlab/Simulink[C]//International Conference on Green Energy Conversion Systems. Hammamet,Tunisia,2017:1-6.
[13]LAHMAR M,LIAO Y. Accurate methods for estimating transmission line parameters using synchronized and unsynchronized data[C]//International Energy and Sustainability Conference. Farmingdale,USA,2017:1-5.

Memo

Memo:
-
Last Update: 2021-12-15