Frequency Noise Optimization by Operating a Vibrating Beam Accelerometer in the Nonlinear Regime

This letter discusses the results of an optimization study for frequency-modulated inertial sensors, focusing on frequency noise minimization in resonant beam transducers. This is achieved by operating a vibrating beam accelerometer (VBA) in a soft nonlinear regime. This letter builds on prior research, enhancing the signal-to-noise ratio by considering the amplitude–frequency relationship and the impact of spring hardening. A detailed frequency noise analysis is performed, along with an exploration of the effects of additive noise on both the input and output voltage stages. The authors present experimental data validating the model, showing that the noise can be minimized by optimizing the input drive voltage level. This work has significant implications for the design of high-precision inertial sensors used in various applications, including navigation systems. The presented results are measured on a 100-g silicon-based VBA demonstrating an Allan variance result of 0.98 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\upmu {\rm{g}}$</tex-math></inline-formula> @ 1 s of integration time.

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Publication Details

Journal
IEEE Sensors Letters
Published
2024-12-16
DOI
https://doi.org/10.1109/lsens.2024.3509635
Citations
1
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.21
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article

Frequency Noise Optimization by Operating a Vibrating Beam Accelerometer in the Nonlinear Regime

Guillermo Sobreviela-Falces, Théo Miani, D. Young, Ashwin A. Seshia et al.
1 citations
IEEE Sensors Letters
Advanced MEMS and NEMS Technologies
0.21
article

Frequency Noise Optimization by Operating a Vibrating Beam Accelerometer in the Nonlinear Regime

Guillermo Sobreviela-Falces, Théo Miani, D. Young, Ashwin A. Seshia, Lokesh Gurung, Colin Baker
article en
1 citations

Abstract

This letter discusses the results of an optimization study for frequency-modulated inertial sensors, focusing on frequency noise minimization in resonant beam transducers. This is achieved by operating a vibrating beam accelerometer (VBA) in a soft nonlinear regime. This letter builds on prior research, enhancing the signal-to-noise ratio by considering the amplitude–frequency relationship and the impact of spring hardening. A detailed frequency noise analysis is performed, along with an exploration of the effects of additive noise on both the input and output voltage stages. The authors present experimental data validating the model, showing that the noise can be minimized by optimizing the input drive voltage level. This work has significant implications for the design of high-precision inertial sensors used in various applications, including navigation systems. The presented results are measured on a 100-g silicon-based VBA demonstrating an Allan variance result of 0.98 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\upmu {\rm{g}}$</tex-math></inline-formula> @ 1 s of integration time.

IEEE Sensors LettersVol. 9(4)
University of Cambridge (GB), Silicon Labs (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 45%
Advanced MEMS and NEMS Technologies
0.21
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