Grating Spectrum Design and Optimization of GMM-FBG Current Sensor

Author:

Jiao Fei,Lei Yuqing,Peng Guozheng,Dong Funing,Yang Qing,Liao WeiORCID

Abstract

In this study, the performance of a current sensor based on giant magnetostrictive materials (GMM) and fiber Bragg grating (FBG) has been improved by optimizing the spectral characteristics of gratings. By analyzing the influence of FBG on the current sensor characteristics, three key parameters (gate region length, refractive index modulation depth, and toe cutting system) are selected for optimization. The optimal grating parameters are determined to improve the linearity and sensitivity of sensor output. Experimental tests reveal that after grating optimization, the current sensor shows excellent performance parameters, including a linearity of 0.9942, sensitivity of 249.75 mV/A, and good stability in the temperature range of 0–60 °C. This research can provide a reference for improving the grating design and performance of existing GMM-FBG current sensors.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference28 articles.

1. Applications of magneto-strictive, magneto-optical, magnetic fluid materials in optical fiber current sensors and optical fiber magnetic field sensors: A review;Liu;Opt. Fiber. Technol.,2021

2. Advances on Sensing Technologies for Smart Cities and Power Grids: A Review;Morello;IEEE Sens. J.,2017

3. A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems;Strasser;IEEE Trans. Ind. Electron.,2015

4. Lobaccaro, G., Carlucci, S., and Lofstrom, E. (2016). A review of systems and technologies for smart homes and smart grids. Energies, 9.

5. Nie, Y.X., Yin, X.G., and Zhang, Z. (2002, January 6–10). Optical current transducer used in high voltage power system. Proceedings of the IEEE/PES Transmission and Distribution Conference and Exhibition, Yokohama, Japan.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3