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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Energy distribution in Dual-UAV collaborative transportation through load sharing

Mohiuddin, Abdullah, Zweiri, Yahya, Almadhoun, Randa, Taha, Tarek and Gan, Dongming (2020) Energy distribution in Dual-UAV collaborative transportation through load sharing. Journal of Mechanisms and Robotics. pp. 1-14. ISSN 1942-4302

Item Type: Article

Abstract

In this paper, a novel dual-UAV collaborative aerial transport strategy based on energy distribution and load sharing is proposed. This paper presents the first experimental demonstration of dual-UAV collaborative aerial transport while distributing power consumption. The demonstration is performed while distributing the power consumption between two drones sharing a load based on their battery state of charge. A numerical model of the dual-hex-rotor-payload is used to validate the proposed strategy. Numerical and hardware tests were conducted to demonstrate the load distribution using multiple UAV with certain spatial configurations. Finally, collaborative aerial transport test scenarios are performed numerically and experimentally. The simulation and experimental results show the effectiveness and applicability of the proposed strategy.

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Depositing User: Randa Almadhoun

Identifiers

Item ID: 16458
Identification Number: https://doi.org/10.1115/1.4046912
ISSN: 1942-4302
URI: http://sure.sunderland.ac.uk/id/eprint/16458
Official URL: http://dx.doi.org/10.1115/1.4046912

Users with ORCIDS

ORCID for Yahya Zweiri: ORCID iD orcid.org/0000-0003-4331-7254
ORCID for Randa Almadhoun: ORCID iD orcid.org/0000-0002-0291-9198
ORCID for Tarek Taha: ORCID iD orcid.org/0000-0001-8267-1681
ORCID for Dongming Gan: ORCID iD orcid.org/0000-0001-5327-1902

Catalogue record

Date Deposited: 20 Nov 2023 10:31
Last Modified: 20 Nov 2023 10:31

Contributors

Author: Yahya Zweiri ORCID iD
Author: Randa Almadhoun ORCID iD
Author: Tarek Taha ORCID iD
Author: Dongming Gan ORCID iD
Author: Abdullah Mohiuddin

University Divisions

Faculty of Technology

Subjects

Computing > Artificial Intelligence

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