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

Authors

  • Jinjun Bai, Hong Zhao College of Marine Electrical Engineering Dalian Maritime University, Dalian, 116026, China
  • Hong Zhao College of Marine Electrical Engineering Dalian Maritime University, Dalian, 116026, China
  • Yulei Liu College of Marine Electrical Engineering Dalian Maritime University, Dalian, 116026, China
  • Kaibin Guo College of Marine Electrical Engineering Dalian Maritime University, Dalian, 116026, China

Keywords:

Feature selective validation, immune algorithm, parameter identification, planar integrated EMI filter

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.

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References

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Published

2021-01-08

How to Cite

[1]
Jinjun Bai, Hong Zhao, Hong Zhao, Yulei Liu, and Kaibin Guo, “Parameter Identification of the Planar Integrated EMI Filter Based on the Improved Immune Algorithm”, ACES Journal, vol. 36, no. 1, pp. 20–26, Jan. 2021.

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General Submission