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Parameter Identification of the Planar Integrated EMI Filter Based on the Improved Immune Algorithm.

Authors :
Jinjun Bai
Hong Zhao
Yulei Liu
Kaibin Guo
Source :
Applied Computational Electromagnetics Society Journal. Jan2021, Vol. 36 Issue 1, p20-26. 7p.
Publication Year :
2021

Abstract

The planar integrated EMI filter has been widely used because of its small size and good highfrequency characteristics. During the production process, if the electrical parameters of the integrated LC structure can be accurately identified, it will help improve the high-frequency characteristics of the filter. However, this identification problem is a multi-peak problem, which can easily fall into a local optimal solution. Based on the Feature Selective Validation method, this paper proposes an improved Immune Algorithm. The proposed method keeps changing the fitness function in the iterative process to avoid the algorithm falling into the local optimal solution. Finally, comparing with the measured impedance characteristic curve, it is verified that the proposed method is more accurate than the common Immune Algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10544887
Volume :
36
Issue :
1
Database :
Academic Search Index
Journal :
Applied Computational Electromagnetics Society Journal
Publication Type :
Academic Journal
Accession number :
149083459
Full Text :
https://doi.org/10.47037/2020.ACES.J.360103