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

doi:10.1109/ECCE50734.2022.9948160

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193878
DOIs	https://doi.org/10.1109/ECCE50734.2022.9948160
State	Published - 2022
Externally published	Yes
Event	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: 9 Oct 2022 → 13 Oct 2022

Publication series

Name	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/Territory	United States
City	Detroit
Period	9/10/22 → 13/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Rogowski coil
current measurement
current sensor
finite element method
magnetic field sensor
wide bandwidth

Access to Document

10.1109/ECCE50734.2022.9948160

Cite this

Du, X., Stratta, A., Fernandez, D. A. P., Wei, Y., Wu, Y., Saadatizadeh, Z., Farnell, C., & Mantooth, H. A. (2022). Multi-objective Design Optimization for Current Sensor Rogowski Coil. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE50734.2022.9948160

@inproceedings{e9bc658e4d354d04835fe5d7da9efbf4,

title = "Multi-objective Design Optimization for Current Sensor Rogowski Coil",

abstract = "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.",

keywords = "Rogowski coil, current measurement, current sensor, finite element method, magnetic field sensor, wide bandwidth",

author = "Xia Du and Andrea Stratta and Fernandez, \{David Arturo Porras\} and Yuqi Wei and Yuheng Wu and Zahra Saadatizadeh and Chris Farnell and Mantooth, \{H. Alan\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 ; Conference date: 09-10-2022 Through 13-10-2022",

year = "2022",

doi = "10.1109/ECCE50734.2022.9948160",

language = "英语",

series = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

}

Du, X, Stratta, A, Fernandez, DAP, Wei, Y, Wu, Y, Saadatizadeh, Z, Farnell, C & Mantooth, HA 2022, Multi-objective Design Optimization for Current Sensor Rogowski Coil. in 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Detroit, United States, 9/10/22. https://doi.org/10.1109/ECCE50734.2022.9948160

Multi-objective Design Optimization for Current Sensor Rogowski Coil. / Du, Xia; Stratta, Andrea; Fernandez, David Arturo Porras et al.
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-objective Design Optimization for Current Sensor Rogowski Coil

AU - Du, Xia

AU - Stratta, Andrea

AU - Fernandez, David Arturo Porras

AU - Wei, Yuqi

AU - Wu, Yuheng

AU - Saadatizadeh, Zahra

AU - Farnell, Chris

AU - Mantooth, H. Alan

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Rogowski coil

KW - current measurement

KW - current sensor

KW - finite element method

KW - magnetic field sensor

KW - wide bandwidth

UR - https://www.scopus.com/pages/publications/85144085956

U2 - 10.1109/ECCE50734.2022.9948160

DO - 10.1109/ECCE50734.2022.9948160

M3 - 会议稿件

AN - SCOPUS:85144085956

T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Y2 - 9 October 2022 through 13 October 2022

ER -

Multi-objective Design Optimization for Current Sensor Rogowski Coil

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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