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基于巨磁电阻效应的电流传感器：设计及在智能电网中的潜在应用。

A current sensor based on the giant magnetoresistance effect: design and potential smart grid applications.

机构信息

State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China.

出版信息

Sensors (Basel). 2012 Nov 9;12(11):15520-41. doi: 10.3390/s121115520.

DOI:10.3390/s121115520
PMID:23202221
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3522974/
Abstract

Advanced sensing and measurement techniques are key technologies to realize a smart grid. The giant magnetoresistance (GMR) effect has revolutionized the fields of data storage and magnetic measurement. In this work, a design of a GMR current sensor based on a commercial analog GMR chip for applications in a smart grid is presented and discussed. Static, dynamic and thermal properties of the sensor were characterized. The characterizations showed that in the operation range from 0 to ±5 A, the sensor had a sensitivity of 28 mV·A(-1), linearity of 99.97%, maximum deviation of 2.717%, frequency response of −1.5 dB at 10 kHz current measurement, and maximum change of the amplitude response of 0.0335%·°C(-1) with thermal compensation. In the distributed real-time measurement and monitoring of a smart grid system, the GMR current sensor shows excellent performance and is cost effective, making it suitable for applications such as steady-state and transient-state monitoring. With the advantages of having a high sensitivity, high linearity, small volume, low cost, and simple structure, the GMR current sensor is promising for the measurement and monitoring of smart grids.

摘要

先进的传感和测量技术是实现智能电网的关键技术。巨磁电阻（GMR）效应已经彻底改变了数据存储和磁测量领域。在这项工作中，提出并讨论了一种基于商用模拟 GMR 芯片的用于智能电网的 GMR 电流传感器的设计。对传感器的静态、动态和热性能进行了表征。表征结果表明，在 0 到 ±5 A 的工作范围内，传感器的灵敏度为 28 mV·A(-1)，线性度为 99.97%，最大偏差为 2.717%，电流测量时 10 kHz 的频率响应为-1.5 dB，具有热补偿的幅度响应最大变化为 0.0335%·°C(-1)。在智能电网系统的分布式实时测量和监测中，GMR 电流传感器具有出色的性能和成本效益，适用于稳态和瞬态监测等应用。GMR 电流传感器具有灵敏度高、线性度好、体积小、成本低、结构简单等优点，有望用于智能电网的测量和监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/1a5dbb0bb38e/sensors-12-15520f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/6f6269195fa7/sensors-12-15520f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/6efc94ffb5cb/sensors-12-15520f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/25b3b49ad1bf/sensors-12-15520f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/52447698a9fb/sensors-12-15520f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/261caa81ce94/sensors-12-15520f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/d7a0b5dd3662/sensors-12-15520f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/5131bb9a7cbb/sensors-12-15520f7a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/89c2f590d23d/sensors-12-15520f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/386391351472/sensors-12-15520f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/cd3ddd5205d7/sensors-12-15520f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/a92f54bed7c4/sensors-12-15520f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/60870be1191c/sensors-12-15520f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/23d552098410/sensors-12-15520f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/afc753817670/sensors-12-15520f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/5491cc304157/sensors-12-15520f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/1a5dbb0bb38e/sensors-12-15520f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/6f6269195fa7/sensors-12-15520f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/6efc94ffb5cb/sensors-12-15520f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/25b3b49ad1bf/sensors-12-15520f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/52447698a9fb/sensors-12-15520f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/261caa81ce94/sensors-12-15520f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/d7a0b5dd3662/sensors-12-15520f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/5131bb9a7cbb/sensors-12-15520f7a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/89c2f590d23d/sensors-12-15520f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/386391351472/sensors-12-15520f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/cd3ddd5205d7/sensors-12-15520f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/a92f54bed7c4/sensors-12-15520f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/60870be1191c/sensors-12-15520f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/23d552098410/sensors-12-15520f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/afc753817670/sensors-12-15520f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/5491cc304157/sensors-12-15520f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eac6/3522974/1a5dbb0bb38e/sensors-12-15520f16.jpg

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本文引用的文献

[1]
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Sensors (Basel). 2009-10-12

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Geosensors to support crop production: current applications and user requirements.

Sensors (Basel). 2011-6-27

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