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Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV

This paper studies the cooperative control of multiple unmanned aerial vehicles (UAVs) with sensors and autonomous flight capabilities. In this paper, an architecture is proposed that takes a small quadrotor as a mission UAV and a large six-rotor as a platform UAV to provide an aerial take-off and l...

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Autores principales: Wang, Liang, Jiang, Xiangqian, Wang, Di, Wang, Lisheng, Tu, Zhijun, Ai, Jianliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736190/
https://www.ncbi.nlm.nih.gov/pubmed/36501768
http://dx.doi.org/10.3390/s22239066
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author Wang, Liang
Jiang, Xiangqian
Wang, Di
Wang, Lisheng
Tu, Zhijun
Ai, Jianliang
author_facet Wang, Liang
Jiang, Xiangqian
Wang, Di
Wang, Lisheng
Tu, Zhijun
Ai, Jianliang
author_sort Wang, Liang
collection PubMed
description This paper studies the cooperative control of multiple unmanned aerial vehicles (UAVs) with sensors and autonomous flight capabilities. In this paper, an architecture is proposed that takes a small quadrotor as a mission UAV and a large six-rotor as a platform UAV to provide an aerial take-off and landing platform and transport carrier for the mission UAV. The design of a tracking controller for an autonomous docking and landing trajectory system is the focus of this research. To examine the system’s overall design, a dual-machine trajectory-tracking control simulation platform is created via MATLAB/Simulink. Then, an autonomous docking and landing trajectory-tracking controller based on radial basis function proportional–integral–derivative control is designed, which fulfills the trajectory-tracking control requirements of the autonomous docking and landing process by efficiently suppressing the external airflow disturbance according to the simulation results. A YOLOv3-based vision pilot system is designed to calibrate the rate of the aerial docking and landing position to eight frames per second. The feasibility of the multi-rotor aerial autonomous docking and landing technology is verified using prototype flight tests during the day and at night. It lays a technical foundation for UAV transportation, autonomous take-off, landing in the air, and collaborative networking. In addition, compared with the existing technologies, our research completes the closed loop of the technical process through modeling, algorithm design and testing, virtual simulation verification, prototype manufacturing, and flight test, which have better realizability.
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spelling pubmed-97361902022-12-11 Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV Wang, Liang Jiang, Xiangqian Wang, Di Wang, Lisheng Tu, Zhijun Ai, Jianliang Sensors (Basel) Article This paper studies the cooperative control of multiple unmanned aerial vehicles (UAVs) with sensors and autonomous flight capabilities. In this paper, an architecture is proposed that takes a small quadrotor as a mission UAV and a large six-rotor as a platform UAV to provide an aerial take-off and landing platform and transport carrier for the mission UAV. The design of a tracking controller for an autonomous docking and landing trajectory system is the focus of this research. To examine the system’s overall design, a dual-machine trajectory-tracking control simulation platform is created via MATLAB/Simulink. Then, an autonomous docking and landing trajectory-tracking controller based on radial basis function proportional–integral–derivative control is designed, which fulfills the trajectory-tracking control requirements of the autonomous docking and landing process by efficiently suppressing the external airflow disturbance according to the simulation results. A YOLOv3-based vision pilot system is designed to calibrate the rate of the aerial docking and landing position to eight frames per second. The feasibility of the multi-rotor aerial autonomous docking and landing technology is verified using prototype flight tests during the day and at night. It lays a technical foundation for UAV transportation, autonomous take-off, landing in the air, and collaborative networking. In addition, compared with the existing technologies, our research completes the closed loop of the technical process through modeling, algorithm design and testing, virtual simulation verification, prototype manufacturing, and flight test, which have better realizability. MDPI 2022-11-22 /pmc/articles/PMC9736190/ /pubmed/36501768 http://dx.doi.org/10.3390/s22239066 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Liang
Jiang, Xiangqian
Wang, Di
Wang, Lisheng
Tu, Zhijun
Ai, Jianliang
Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV
title Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV
title_full Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV
title_fullStr Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV
title_full_unstemmed Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV
title_short Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV
title_sort research on aerial autonomous docking and landing technology of dual multi-rotor uav
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736190/
https://www.ncbi.nlm.nih.gov/pubmed/36501768
http://dx.doi.org/10.3390/s22239066
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