Discrete space-based route planning for rotary-wing UAV formation in urban environments

The route planning problem for rotary-wing UAV formation is studied in discrete urban environments. First, a discrete-space consensus algorithm (DSCA) integrating asynchronous planning and grouping mechanism is developed to make the rotary-wing UAVs converge to the desired formation. Then the DSCA i...

Full description

Saved in:
Bibliographic Details
Main Authors: Wu, Yu, Low, Kin Huat
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/163840
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-163840
record_format dspace
spelling sg-ntu-dr.10356-1638402022-12-19T08:10:09Z Discrete space-based route planning for rotary-wing UAV formation in urban environments Wu, Yu Low, Kin Huat School of Mechanical and Aerospace Engineering Air Traffic Management Research Institute Engineering::Aeronautical engineering Route Planning Urban Environments The route planning problem for rotary-wing UAV formation is studied in discrete urban environments. First, a discrete-space consensus algorithm (DSCA) integrating asynchronous planning and grouping mechanism is developed to make the rotary-wing UAVs converge to the desired formation. Then the DSCA is combined with the improved rapidly-exploring random tree (IRRT) algorithm to enable the rotary-wing UAV formation to avoid the obstacles. Finally, the time information of waypoints is complemented by resolving the conflicts among multiple rotary-wing UAVs, thus reducing the rotary-wing UAVs' time gap of reaching the destinations. The proposed method extends the original consensus theory in the discrete space and for the obstacle avoidance issue. Also, it is valid in the route planning problem for rotary-wing UAV formation considering the real urban environments. Ministry of Education (MOE) This research work is supported by the Chongqing Research Program of Basic Research and Frontier Technology, China (grant number of cstc2020jcyj-msxmX0602) and the Fundamental Research Funds for the Central Universities, China (grant number of 2020 CDJ-LHZZ-066). Thanks are also due to China Scholarship Council (project reference number 201906055030) for the financial support of the research attachment of the first author to the ATMRI in the NTU, Singapore. This collaborative research, findings presented, and interactions among teams are also relevant to the Ministry of Education (MOE, Singapore) Tier-1 project research grant (Project ID: 2018-T1-002-124) and the UAS Program on ‘‘Urban Aerial Transport Traffic Management and Systems’’ in the ATMRI, NTU, Singapore. The current work also provides the basis and idea for the recently approved National Natural Science Foundation of China (grant number of 52102453). 2022-12-19T08:10:08Z 2022-12-19T08:10:08Z 2022 Journal Article Wu, Y. & Low, K. H. (2022). Discrete space-based route planning for rotary-wing UAV formation in urban environments. ISA Transactions, 129(Part A), 243-259. https://dx.doi.org/10.1016/j.isatra.2021.12.043 0019-0578 https://hdl.handle.net/10356/163840 10.1016/j.isatra.2021.12.043 35042618 2-s2.0-85122940963 Part A 129 243 259 en 2018-T1-002-124 ISA Transactions © 2022 ISA. 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::Aeronautical engineering
Route Planning
Urban Environments
spellingShingle Engineering::Aeronautical engineering
Route Planning
Urban Environments
Wu, Yu
Low, Kin Huat
Discrete space-based route planning for rotary-wing UAV formation in urban environments
description The route planning problem for rotary-wing UAV formation is studied in discrete urban environments. First, a discrete-space consensus algorithm (DSCA) integrating asynchronous planning and grouping mechanism is developed to make the rotary-wing UAVs converge to the desired formation. Then the DSCA is combined with the improved rapidly-exploring random tree (IRRT) algorithm to enable the rotary-wing UAV formation to avoid the obstacles. Finally, the time information of waypoints is complemented by resolving the conflicts among multiple rotary-wing UAVs, thus reducing the rotary-wing UAVs' time gap of reaching the destinations. The proposed method extends the original consensus theory in the discrete space and for the obstacle avoidance issue. Also, it is valid in the route planning problem for rotary-wing UAV formation considering the real urban environments.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Wu, Yu
Low, Kin Huat
format Article
author Wu, Yu
Low, Kin Huat
author_sort Wu, Yu
title Discrete space-based route planning for rotary-wing UAV formation in urban environments
title_short Discrete space-based route planning for rotary-wing UAV formation in urban environments
title_full Discrete space-based route planning for rotary-wing UAV formation in urban environments
title_fullStr Discrete space-based route planning for rotary-wing UAV formation in urban environments
title_full_unstemmed Discrete space-based route planning for rotary-wing UAV formation in urban environments
title_sort discrete space-based route planning for rotary-wing uav formation in urban environments
publishDate 2022
url https://hdl.handle.net/10356/163840
_version_ 1753801144222613504