High-Quality Factor FBG-FPI Accelerometer With Adjustable Resonant Frequency and Sensitivity Using Additional Mass

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-11-08 DOI:10.1109/JSEN.2024.3490653

Fanxu Geng;Xingyong Li;Xin Liu;Shuangshuang Li;Ruohui Wang;Fengyi Chen;Xueguang Qiao

引用次数: 0

Abstract

We propose and demonstrate a spring-mass structure accelerometer based on a fiber Bragg grating Fabry-Perot interferometer (FBG-FPI). The sensitivity and resonant frequency of the accelerometer can be adjusted by adding an additional mass block. A theoretical model of the accelerometer was established and simulated using finite element analysis, with experimental verification of the theoretical formulas for its sensitivity and resonant frequency. Experimental results indicate that modifying the additional mass block allows adjustment of the accelerometer’s resonant frequency within the range of 720–1200 Hz, achieving a maximum sensitivity of 403.2 rad/g. To further validate the proposed method’s effectiveness, we conducted a comparative test between this accelerometer and a traditional electromagnetic one, confirming its performance and reliability in practical applications.

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高品质因数FBG-FPI加速度计可调谐振频率和灵敏度使用额外的质量

提出并演示了一种基于光纤光栅法布里-珀罗干涉仪（FBG-FPI）的弹簧质量结构加速度计。加速度计的灵敏度和谐振频率可以通过增加一个额外的质量块来调节。建立了加速度计的理论模型，并进行了有限元仿真，实验验证了加速度计灵敏度和谐振频率的理论公式。实验结果表明，通过调整附加质量块，加速度计的谐振频率可在720 ~ 1200hz范围内调节，最大灵敏度可达403.2 rad/g。为了进一步验证该方法的有效性，我们将该加速度计与传统电磁加速度计进行了对比测试，验证了其在实际应用中的性能和可靠性。

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

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice