Evidence map›Paper›PMID 37420728›Full record

ArticleSensors (Basel, Switzerland)2023

Thrust Vectoring Control for Heavy UAVs, Employing a Redundant Communication System.

Mohammad Sadeq Ale Isaac, Ahmed Refaat Ragab, Marco Andrés Luna, Mohammad Mehdi Ale Eshagh Khoeini, Pascual Campoy

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.

Mohammad Sadeq Ale IsaacComputer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR), Universidad Politécnica de Madrid (UPM-CSIC), 28006 Madrid, Spain.ORCID 0000-0001-8773-7184
Ahmed Refaat RagabDepartment of Network, Faculty of Information Systems and Computer Science, October 6 University, Giza 12511, Egypt.ORCID 0000-0002-6897-6048
Marco Andrés LunaComputer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR), Universidad Politécnica de Madrid (UPM-CSIC), 28006 Madrid, Spain.ORCID 0000-0003-1036-7538
Mohammad Mehdi Ale Eshagh KhoeiniDepartment of Business Administration, Istanbul Aydin University, Istanbul 34295, Turkey.ORCID 0000-0003-3936-332X
Pascual CampoyComputer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR), Universidad Politécnica de Madrid (UPM-CSIC), 28006 Madrid, Spain.ORCID 0000-0002-9894-2009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, various research studies have been developed to address communication sensors for Unmanned Aerial Systems (UASs). In particular, when pondering control difficulties, communication is a crucial component. To this end, strengthening a control algorithm with redundant linking sensors ensures the overall system works accurately, even if some components fail. This paper proposes a novel approach to integrate several sensors and actuators for a heavy Unmanned Aerial Vehicle (UAV). Additionally, a cutting-edge Robust Thrust Vectoring Control (RTVC) technique is designed to control various communicative modules during a flying mission and converge the attitude system to stability. The results of the study demonstrate that even though RTVC is not frequently utilized, it works as well as cascade PID controllers, particularly for multi-rotors with mounted flaps, and could be perfectly functional in UAVs powered by thermal engines to increase the autonomy since the propellers cannot be used as controller surfaces.

Indexed as

AlgorithmsSportsCommunicationUnmanned Aerial Devicessliding modesommunicationthrust vectoring controlUAV

Identifiers

PMID37420728
PMCPMC10303676

What OpenQuestion holds

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LicenceCC BY
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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.