Evidence map›Paper›PMID 36559940›Full record

ArticleSensors (Basel, Switzerland)2022

Research on Attitude Detection and Flight Experiment of Coaxial Twin-Rotor UAV.

Deyi You, Yongping Hao, Jiulong Xu, Liyuan Yang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Deyi YouSchool of Equipment Engineering, Shenyang Ligong University, No.6, Nanping Central Road, Hunnan New District, Shenyang 110159, China.
Yongping HaoSchool of Equipment Engineering, Shenyang Ligong University, No.6, Nanping Central Road, Hunnan New District, Shenyang 110159, China.
Jiulong XuSchool of Equipment Engineering, Shenyang Ligong University, No.6, Nanping Central Road, Hunnan New District, Shenyang 110159, China.ORCID 0000-0002-7789-8141
Liyuan YangSchool of Equipment Engineering, Shenyang Ligong University, No.6, Nanping Central Road, Hunnan New District, Shenyang 110159, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aiming at the problem that the single sensor of the coaxial UAV cannot accurately measure attitude information, a pose estimation algorithm based on unscented Kalman filter information fusion is proposed. The kinematics and dynamics characteristics of coaxial folding twin-rotor UAV are studied, and a mathematical model is established. The common attitude estimation methods are analyzed, and the extended Kalman filter algorithm and unscented Kalman filter algorithm are established. In order to complete the test of the prototype of a small coaxial twin-rotor UAV, a test platform for the dynamic performance and attitude angle of the semi-physical flight of the UAV was established. The platform can analyze the mechanical vibration, attitude angle and noise of the aircraft. It can also test and analyze the characteristics of the mechanical vibration and noise produced by the UAV at different rotor speeds. Furthermore, the static and time-varying trends of the pitch angle and yaw angle of the Kalman filter attitude estimation algorithm is further analyzed through static and dynamic experiments. The analysis results show that the attitude estimation of the UKF is better than that of the EKF when the throttle is between 0.2σ and 0.9σ. The error of the algorithm is less than 0.6°. The experiment and analysis provide a reference for the optimization of the control parameters and flight control strategy of the coaxial folding dual-rotor aircraft.

Indexed as

aircraftattitudecontrolfilteringPIDrotorsoftwaresystemunmanned aerial vehicle (UAV)

Identifiers

PMID36559940
PMCPMC9785774

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.