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Multi-objective Design Optimization for Current Sensor Rogowski Coil

  • Xia Du
  • , Andrea Stratta
  • , David Arturo Porras Fernandez
  • , Yuqi Wei
  • , Yuheng Wu
  • , Zahra Saadatizadeh
  • , Chris Farnell
  • , H. Alan Mantooth
  • University of Arkansas, Fayetteville
  • University of Nottingham

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

This paper discusses the possibility of using a multi-objective optimization workflow to design Rogowski coil current sensor and optimize its performance. Seven geometrical parameters can be used as design variables to maximize objective functions such as sensor bandwidth and sensitivity. Based on the electrical lumped parameter model of the Rogowski coil, the sensor geometry is optimized combining a genetic algorithm (GA) in Matlab and a finite element (FE) electromagnetic model in Q3D Ansys. To validate the proposed design approach, a compact current sensor with very high bandwidth (up to 300 MHz) is designed, prototyped, tested, and compared with a suboptimal design (up to 100 MHz). Experimental results prove the validity and optimality of the sensor model used for the design.

源语言英语
主期刊名2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728193878
DOI
出版状态已出版 - 2022
已对外发布
活动2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, 美国
期限: 9 10月 202213 10月 2022

出版系列

姓名2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

会议

会议2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
国家/地区美国
Detroit
时期9/10/2213/10/22

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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