Evidence map›Paper›PMID 38261871›Full record

ArticleMicrosystems & nanoengineering2024

A self-centering and stiffness-controlled MEMS accelerometer.

Yiming Jin, Zhipeng Ma, Ziyi Ye, Mingkang Li, Xudong Zheng, Zhonghe Jin

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yiming JinSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310013 China.
Zhipeng MaSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310013 China.ORCID 0000-0003-2891-3410
Ziyi YeSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310013 China.
Mingkang LiSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310013 China.
Xudong ZhengSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310013 China.
Zhonghe JinSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310013 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a high-performance MEMS accelerometer with a DC/AC electrostatic stiffness tuning capability based on double-sided parallel plates (DSPPs). DC and AC electrostatic tuning enable the adjustment of the effective stiffness and the calibration of the geometric offset of the proof mass, respectively. A dynamical model of the proposed accelerometer was developed considering both DC/AC electrostatic tuning and the temperature effect. Based on the dynamical model, a self-centering closed loop is proposed for pulling the reference position of the force-to-rebalance (FTR) to the geometric center of DSPP. The self-centering accelerometer operates at the optimal reference position by eliminating the temperature drift of the readout circuit and nulling the net electrostatic tuning forces. The stiffness closed-loop is also incorporated to prevent the pull-in instability of the tuned low-stiffness accelerometer under a dramatic temperature variation. Real-time adjustments of the reference position and the DC tuning voltage are utilized to compensate for the residue temperature drift of the proposed accelerometer. As a result, a novel controlling approach composed of a self-centering closed loop, stiffness-closed loop, and temperature drift compensation is achieved for the accelerometer, realizing a temperature drift coefficient (TDC) of approximately 7 μg/°C and an Allan bias instability of less than 1 μg.

Indexed as

Electrical and electronic engineeringSensors

Identifiers

PMID38261871
PMCPMC10796430

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.