High-speed current measurement for nitrogen-vacancy centers galvanometer utilizing adaptive frequency sweeping method

IF 6.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2026-05-05 Epub Date: 2026-02-26 DOI:10.1016/j.measurement.2026.120983

Jihongbo Shen, Heng Yuan, Enke Yang, Hongyu Tao, Zekun Niu, Haoming Xu, Chentao Zhang, Chen Su, Zhuo Wang

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引用次数: 0

Abstract

Quantum sensors based on diamond nitrogen-vacancy (NV) centers address the need for high-speed current monitoring and demonstrate significant application value for the rapidly evolving industrial electrical systems. Such sensors require frequency sweeping to acquire current information. However, conventional frequency sweeping methods used in diamond sensors suffer from redundant sampling, restricting high-speed performance. This study proposes an adaptive frequency sweeping (AFS) method integrating two synergistic protocols, including resonance peak focused sweeping (RPFS) for large range variations and adaptive resonance peak tracking (ARPT) for small range fluctuations. The AFS technique dynamically switches between RPFS and ARPT according to current variation, enabling high-speed current measurement across varying magnitudes of current change. Experimental validation demonstrates this advantage with <29 ms tracking latency for current variation rates lower than 818 A/s, and higher rates <49 ms. The AFS technique illustrates the potential application in high-power current transmission environments monitoring.

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利用自适应扫频法测量氮空位中心振镜的高速电流

基于金刚石氮空位（NV）中心的量子传感器解决了高速电流监测的需求，在快速发展的工业电气系统中具有重要的应用价值。这种传感器需要频率扫描来获取当前信息。然而，传统的金刚石传感器扫频方法存在采样冗余的问题，限制了传感器的高速性能。本研究提出了一种自适应扫频（AFS）方法，集成了两种协同协议，包括共振峰聚焦扫频（RPFS）大范围变化和自适应共振峰跟踪（ARPT）小范围波动。AFS技术根据电流变化在RPFS和ARPT之间动态切换，实现了在不同电流变化幅度下的高速电流测量。实验验证证明了这一优势，当电流变化率低于818 A/s时，跟踪延迟为29 ms，而当电流变化率高于818 A/s时，跟踪延迟为49 ms。AFS技术在大功率电流传输环境监测中具有潜在的应用前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.