The Digital-Twin Modeling Method and Cross-Coupling Mechanism of Quartz Flexible Accelerometer

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

IEEE Sensors Journal Pub Date : 2025-04-25 DOI:10.1109/JSEN.2025.3550722

Wanying Huang;Chunxi Zhang;Lailiang Song;Wei Zhang;Zhifang Zhu;Longjun Ran

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引用次数: 0

Abstract

Quartz flexible accelerometers (QFAs) are widely applied in navigation systems. Although mechanical excitation is known to degrade the QFA performance and lower the positioning accuracy of the system, the mechanism underlying the dynamic performance deterioration remains obscure. Considering the etching process and assembly deviation, this article theoretically derives a pendulum cross-coupling mechanism and quantifies the transfer process of the structural error in the beams. The physical process of QFA is represented by a motion model, electrostatic and electromagnetic field models, and a signal transmission model. The QFA was analyzed through a digital-twin modeling approach incorporating finite element modeling and numerical analysis. The digital-twin model verified the error-transfer process of the beam structure and vibration experiments confirmed the specific effects of cross coupling. This article quantifies the dynamic accuracy degradation caused by interior errors in the QFA, providing guidance for optimizing the structure and assembly process of QFAs and promoting their environmental adaptability.

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石英挠性加速度计的数字孪生建模方法及交叉耦合机理

石英挠性加速度计在导航系统中有着广泛的应用。虽然已知机械激励会降低QFA的性能并降低系统的定位精度，但其动态性能下降的机制尚不清楚。考虑到刻蚀过程和装配偏差，从理论上推导出摆交叉耦合机制，量化了结构误差在梁中的传递过程。QFA的物理过程由运动模型、静电场和电磁场模型以及信号传输模型来表示。通过结合有限元建模和数值分析的数字孪生建模方法对QFA进行了分析。数字孪生模型验证了梁结构的误差传递过程，振动实验证实了交叉耦合的具体影响。本文量化了QFA内部误差引起的动态精度退化，为优化QFA的结构和装配工艺，提高QFA的环境适应性提供了指导。

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