Evidence map›Paper›PMID 37687879›Full record

ArticleSensors (Basel, Switzerland)2023

Adaptive Fuzzy Modal Matching of Capacitive Micromachined Gyro Electrostatic Controlling.

Li Cheng, Ruimin Liu, Shumin Guo, Gaofeng Zheng, Yifang Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
–field-weighted citation impact
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

5 authors.

Li ChengDepartment of Aeronautical and Aviation Engineering, Hong Kong Polytechnic University, Hong Kong.
Ruimin LiuPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China.
Shumin GuoSchool of Mathematical Sciences, Xiamen University, Xiamen 361002, China.
Gaofeng ZhengPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China.ORCID 0000-0003-0870-6166
Yifang LiuPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China.ORCID 0000-0003-3800-5512

Funding

Natural Science Foundation of Fujian Province 2020H6003Natural Science Foundation of Guangdong Province 2022A1515010923Natural Science Foundation of Guangdong Province 2022A1515010949
6 · The paper itself

Abstract

A fuzzy PI controller was utilized to realize the modal matching between a driving and detecting model. A simulation model was built to study electrostatic decoupling controlling technology. The simulation results show that the modal matching can be gained by the fuzzy PI controller. The frequency difference between the driving mode and the detection mode is less than 1 Hz, and the offset of the input DC is smaller than 0.6 V. The optimal proportionality factor and integral coefficient are 1.5 and 20, respectively. The fuzzy PI controlling technology provides a good way for the parameter optimization to gain modal matching of micro gyro, via which the detecting accuracy and stability can be improved greatly.

Indexed as

capacitive micro-machined gyroelectrostatic controlfeedback controlmodal matchingnumerical simulation

Identifiers

PMID37687879
PMCPMC10490791

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.