Evidence map›Paper›PMID 39275762›Full record

ArticleSensors (Basel, Switzerland)2024

Designing of Airspeed Measurement Method for UAVs Based on MEMS Pressure Sensors.

Zhipeng Chen, Haojie Li, Hang Yu, Yuan Zhao, Jing Ma, Chuanhao Zhang, He Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Zhipeng ChenSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Haojie LiSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Hang YuSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0000-0003-3873-6868
Yuan ZhaoSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Jing MaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Chuanhao ZhangSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0009-0000-2696-3508
He ZhangSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airspeed measurement is crucial for UAV control. To achieve accurate airspeed measurements for UAVs, this paper calculates airspeed data by measuring changes in air pressure and temperature. Based on this, a data processing method based on mechanical filtering and the improved AR-SHAKF algorithm is proposed to indirectly measure airspeed with high precision. In particular, a mathematical model for an airspeed measurement system was established, and an installation method for the pressure sensor was designed to measure the total pressure, static pressure, and temperature. Secondly, the measurement principle of the sensor was analyzed, and a metal tube was installed to act as a mechanical filter, particularly in cases where the aircraft has a significant impact on the gas flow field. Furthermore, a time series model was used to establish the sensor state equation and the initial noise values. It also enhanced the Sage-Husa adaptive filter to analyze the unavoidable error impact of initial noise values. By constraining the range of measurement noise, it achieved adaptive noise estimation. To validate the superiority of the proposed method, a low-complexity airspeed measurement device based on MEMS pressure sensors was designed. The results demonstrate that the airspeed measurement device and the designed velocity measurement method can effectively calculate airspeed with high measurement accuracy and strong interference resistance.

Indexed as

airspeed measurementimproved AR-SHAKF algorithmMEMS pressure sensorsUAVs

Identifiers

PMID39275762
PMCPMC11487444

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.