通过后退火制造的高精度双轴 GMR 角度传感器

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zitong Zhou, Zhiqiang Cao, Shaohua Yan, Xiaolong Wang, Libo Xie, Shiyang Lu, Dapeng Zhu, Qunwen Leng, Weisheng Zhao
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引用次数: 0

摘要

这项工作展示了一种通过后退火制备的高精度面内双轴 GMR 角度传感器。通过两次退火调制 GMR 带的引脚方向,实现了两个传感器的正交敏感方向。全桥传感器的灵敏度为 6.59 mV/V/mT,感应方向沿 Y 轴;半桥 GMR 传感器的灵敏度为 1.68 mV/V/mT,感应方向沿 X 轴。对双轴传感器输出与磁场的关系进行了模拟,从而证明了通过角度测试测量的 P2 方向的正确性。全桥传感器在 10 赫兹时的检测率为 22 nT/(Hz)0.5,半桥传感器在 10 赫兹时的检测率为 88 nT/(Hz)0.5。双轴传感器检测地磁角度的正交误差低于 0.04。本研究中的传感器比一些商用 GMR 传感器(如 Yamaha 生产的 YAS532 和 ALPS 生产的 HSCDTD008A)具有更高的检测率。本研究提出了一种生产双轴 GMR 角度传感器的高效而简单的方法,是一种有望实现批量生产的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A high precision two-axis GMR angular sensor manufactured by post-annealing

This work demonstrates a high-precision in-plane two-axis GMR angle sensor is prepared by post-annealing. The pinning direction of the GMR strips is modulated by annealing two times to achieve orthogonal sensitive directions of the two sensors. The sensitivity of a full-bridge sensor is 6.59 mV/V/mT, with the sensing direction along the Y-axis and the sensitivity of a half-bridge GMR sensor is 1.68 mV/V/mT with the sensing direction along the X-axis. A simulation of the two-axis sensor output with the field has been performed, which proves the correctness of the P2 direction measured by the angle test. The detectivity of the full-bridge sensor is 22 nT/(Hz)0.5 at 10 Hz and it is 88 nT/(Hz)0.5 at 10 Hz for half-bridge sensor. The orthogonality error of the two-axis sensor for the geomagnetic angle detection is lower than 0.04. The sensor in this study demonstrates higher detectivity than some commercial GMR sensors, such as YAS532 produced by Yamaha and HSCDTD008A produced by ALPS. This work proposes an efficient and simple method for producing two-axis GMR angle sensors, which can be a promising solution for mass production.

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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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