Cargando…

Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology

The urgent requirement for improving the efficiency of agricultural plant protection operations has spurred considerable interest in multiple plant protection UAV systems. In this study, a performance-guaranteed distributed control scheme is developed in order to address the control of multiple plan...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Hanqiao, Mei, Hantong, Yan, Tian, Wang, Bolan, Xu, Feihong, Zhou, Daming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534514/
https://www.ncbi.nlm.nih.gov/pubmed/36212289
http://dx.doi.org/10.3389/fpls.2022.949857
_version_ 1784802559206096896
author Huang, Hanqiao
Mei, Hantong
Yan, Tian
Wang, Bolan
Xu, Feihong
Zhou, Daming
author_facet Huang, Hanqiao
Mei, Hantong
Yan, Tian
Wang, Bolan
Xu, Feihong
Zhou, Daming
author_sort Huang, Hanqiao
collection PubMed
description The urgent requirement for improving the efficiency of agricultural plant protection operations has spurred considerable interest in multiple plant protection UAV systems. In this study, a performance-guaranteed distributed control scheme is developed in order to address the control of multiple plant protection UAV systems with collision avoidance and a directed topology. First, a novel concept called predetermined time performance function (PTPF) is proposed, such that the tracking error can converge to an arbitrary small preassigned region in finite time. Second, combined with the two-order filter for each UAV, the information estimation from the leader is generated. The distributed protocol avoids the use of an asymmetric Laplace matrix of a directed graph and solves the difficulty of control design. Furthermore, by introducing with a collision prediction mechanism, a repulsive force field is constructed between the dynamic obstacle and the UAV, in order to avoid the collision. Finally, it is rigorously proved that the consensus of the multiple plant protection UAV system can be achieved while guaranteeing the predetermined time performance. A numerical simulation is carried out to verify the effectiveness of the presented method, such that the multiple UAVs system can fulfill time-constrained plant protection tasks.
format Online
Article
Text
id pubmed-9534514
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95345142022-10-06 Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology Huang, Hanqiao Mei, Hantong Yan, Tian Wang, Bolan Xu, Feihong Zhou, Daming Front Plant Sci Plant Science The urgent requirement for improving the efficiency of agricultural plant protection operations has spurred considerable interest in multiple plant protection UAV systems. In this study, a performance-guaranteed distributed control scheme is developed in order to address the control of multiple plant protection UAV systems with collision avoidance and a directed topology. First, a novel concept called predetermined time performance function (PTPF) is proposed, such that the tracking error can converge to an arbitrary small preassigned region in finite time. Second, combined with the two-order filter for each UAV, the information estimation from the leader is generated. The distributed protocol avoids the use of an asymmetric Laplace matrix of a directed graph and solves the difficulty of control design. Furthermore, by introducing with a collision prediction mechanism, a repulsive force field is constructed between the dynamic obstacle and the UAV, in order to avoid the collision. Finally, it is rigorously proved that the consensus of the multiple plant protection UAV system can be achieved while guaranteeing the predetermined time performance. A numerical simulation is carried out to verify the effectiveness of the presented method, such that the multiple UAVs system can fulfill time-constrained plant protection tasks. Frontiers Media S.A. 2022-09-21 /pmc/articles/PMC9534514/ /pubmed/36212289 http://dx.doi.org/10.3389/fpls.2022.949857 Text en Copyright © 2022 Huang, Mei, Yan, Wang, Xu and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Huang, Hanqiao
Mei, Hantong
Yan, Tian
Wang, Bolan
Xu, Feihong
Zhou, Daming
Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology
title Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology
title_full Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology
title_fullStr Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology
title_full_unstemmed Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology
title_short Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology
title_sort performance-guaranteed distributed control for multiple plant protection uavs with collision avoidance and a directed topology
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534514/
https://www.ncbi.nlm.nih.gov/pubmed/36212289
http://dx.doi.org/10.3389/fpls.2022.949857
work_keys_str_mv AT huanghanqiao performanceguaranteeddistributedcontrolformultipleplantprotectionuavswithcollisionavoidanceandadirectedtopology
AT meihantong performanceguaranteeddistributedcontrolformultipleplantprotectionuavswithcollisionavoidanceandadirectedtopology
AT yantian performanceguaranteeddistributedcontrolformultipleplantprotectionuavswithcollisionavoidanceandadirectedtopology
AT wangbolan performanceguaranteeddistributedcontrolformultipleplantprotectionuavswithcollisionavoidanceandadirectedtopology
AT xufeihong performanceguaranteeddistributedcontrolformultipleplantprotectionuavswithcollisionavoidanceandadirectedtopology
AT zhoudaming performanceguaranteeddistributedcontrolformultipleplantprotectionuavswithcollisionavoidanceandadirectedtopology