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 | 是 |
| 活动 | 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, 美国 期限: 9 10月 2022 → 13 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 |
| 市 | Detroit |
| 时期 | 9/10/22 → 13/10/22 |
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:
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可持续发展目标 7 经济适用的清洁能源
学术指纹
探究 'Multi-objective Design Optimization for Current Sensor Rogowski Coil' 的科研主题。它们共同构成独一无二的指纹。引用此
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