Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment

This paper studies the autonomous docking between an Unmanned Aerial Vehicle (UAV) and a Mobile Platform (MP) based on UWB and vision sensors. To solve this problem, an integrated estimation and control scheme is proposed, which is divided into three phases: hovering, approaching and landing. In the...

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Main Authors: Cheng, Cheng, Li, Xiuxian, Xie, Lihua, Li, Li
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/163661
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1636612022-12-13T07:09:37Z Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment Cheng, Cheng Li, Xiuxian Xie, Lihua Li, Li School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Odometry Precision Landing This paper studies the autonomous docking between an Unmanned Aerial Vehicle (UAV) and a Mobile Platform (MP) based on UWB and vision sensors. To solve this problem, an integrated estimation and control scheme is proposed, which is divided into three phases: hovering, approaching and landing. In the hovering phase, the velocity of the MP and relative position between the MP and UAV are estimated by using geometric tools and Cayley-Menger determinant based on ultra-wideband distance measurements; in the approaching phase, a recursive least squares optimization algorithm with a forgetting factor is proposed, which uses distance, displacement and MP's velocity to estimate the relative position between the UAV and MP. With the estimated relative position, UAV can approach MP until reaching a distance such that MP is within the field of view of UAV; in the landing phase, the UWB measurement value and visual perception attitude are integrated with the UAV on-board navigation sensor of the UAV to perform the precision landing. Simulation and experiment results verify the effectiveness and feasibility of the proposed integrated navigation scheme. This research was supported by the Shanghai Municipal Commission of Science and Technology No. 19511132100, 19511132101, the Shanghai Municipal Science and Technology Major Project, No. 2021SHZDZX0100, the National Natural Science Foundation of China under Grant 62003243, National Key R&D Program of China, No. 2018YFE0105000, 2018YFB1305304, and the Basic Science Centre Program by National Natural Science Foundation of China under grant 62088101. 2022-12-13T07:09:37Z 2022-12-13T07:09:37Z 2022 Journal Article Cheng, C., Li, X., Xie, L. & Li, L. (2022). Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment. Journal of The Franklin Institute, 359(7), 2788-2809. https://dx.doi.org/10.1016/j.jfranklin.2022.03.005 0016-0032 https://hdl.handle.net/10356/163661 10.1016/j.jfranklin.2022.03.005 2-s2.0-85127345418 7 359 2788 2809 en Journal of The Franklin Institute © 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Odometry
Precision Landing
spellingShingle Engineering::Electrical and electronic engineering
Odometry
Precision Landing
Cheng, Cheng
Li, Xiuxian
Xie, Lihua
Li, Li
Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment
description This paper studies the autonomous docking between an Unmanned Aerial Vehicle (UAV) and a Mobile Platform (MP) based on UWB and vision sensors. To solve this problem, an integrated estimation and control scheme is proposed, which is divided into three phases: hovering, approaching and landing. In the hovering phase, the velocity of the MP and relative position between the MP and UAV are estimated by using geometric tools and Cayley-Menger determinant based on ultra-wideband distance measurements; in the approaching phase, a recursive least squares optimization algorithm with a forgetting factor is proposed, which uses distance, displacement and MP's velocity to estimate the relative position between the UAV and MP. With the estimated relative position, UAV can approach MP until reaching a distance such that MP is within the field of view of UAV; in the landing phase, the UWB measurement value and visual perception attitude are integrated with the UAV on-board navigation sensor of the UAV to perform the precision landing. Simulation and experiment results verify the effectiveness and feasibility of the proposed integrated navigation scheme.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Cheng, Cheng
Li, Xiuxian
Xie, Lihua
Li, Li
format Article
author Cheng, Cheng
Li, Xiuxian
Xie, Lihua
Li, Li
author_sort Cheng, Cheng
title Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment
title_short Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment
title_full Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment
title_fullStr Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment
title_full_unstemmed Autonomous dynamic docking of UAV based on UWB-vision in GPS-denied environment
title_sort autonomous dynamic docking of uav based on uwb-vision in gps-denied environment
publishDate 2022
url https://hdl.handle.net/10356/163661
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