Distributed adaptive time‐varying formation of multi‐UAV systems under undirected graph

Abstract In this paper, a fully distributed control protocol is presented based on adaptive technology to solve the time‐varying formation problem of multi‐unmanned aerial vehicle (UAV) systems, where the coupling weights between neighbouring UAVs can be adjusted through adaptive method. Firstly, th...

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Main Authors: Xin Cai, Xiaozhou Zhu, Wen Yao
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Intelligent Transport Systems
Subjects:
Online Access:https://doi.org/10.1049/itr2.12446
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author Xin Cai
Xiaozhou Zhu
Wen Yao
author_facet Xin Cai
Xiaozhou Zhu
Wen Yao
author_sort Xin Cai
collection DOAJ
description Abstract In this paper, a fully distributed control protocol is presented based on adaptive technology to solve the time‐varying formation problem of multi‐unmanned aerial vehicle (UAV) systems, where the coupling weights between neighbouring UAVs can be adjusted through adaptive method. Firstly, the proposed control protocol eliminates the need for global information on the interaction topology of multi‐UAV systems, the calculation of Laplacian matrix eigenvalues is avoided and reduces the computational complexity of the system. Secondly, an algorithm with two steps is proposed to determine the distributed adaptive control gain matrices, where the feasibility condition of time‐varying formation of multi‐UAV systems is given. Then, the closed‐loop stability of multi‐UAV systems is proved through Lyapunov theory. Finally, numerical simulation is conducted to verify the effectiveness of the theoretical results.
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spelling doaj.art-73a8871571034ea1afdaec8ac3aab02d2024-02-06T07:08:45ZengWileyIET Intelligent Transport Systems1751-956X1751-95782024-02-0118221822910.1049/itr2.12446Distributed adaptive time‐varying formation of multi‐UAV systems under undirected graphXin Cai0Xiaozhou Zhu1Wen Yao2Defense Innovation Institute Chinese Academy of Military Science Beijing ChinaDefense Innovation Institute Chinese Academy of Military Science Beijing ChinaDefense Innovation Institute Chinese Academy of Military Science Beijing ChinaAbstract In this paper, a fully distributed control protocol is presented based on adaptive technology to solve the time‐varying formation problem of multi‐unmanned aerial vehicle (UAV) systems, where the coupling weights between neighbouring UAVs can be adjusted through adaptive method. Firstly, the proposed control protocol eliminates the need for global information on the interaction topology of multi‐UAV systems, the calculation of Laplacian matrix eigenvalues is avoided and reduces the computational complexity of the system. Secondly, an algorithm with two steps is proposed to determine the distributed adaptive control gain matrices, where the feasibility condition of time‐varying formation of multi‐UAV systems is given. Then, the closed‐loop stability of multi‐UAV systems is proved through Lyapunov theory. Finally, numerical simulation is conducted to verify the effectiveness of the theoretical results.https://doi.org/10.1049/itr2.12446adaptive controlaircraft controldistributed control
spellingShingle Xin Cai
Xiaozhou Zhu
Wen Yao
Distributed adaptive time‐varying formation of multi‐UAV systems under undirected graph
IET Intelligent Transport Systems
adaptive control
aircraft control
distributed control
title Distributed adaptive time‐varying formation of multi‐UAV systems under undirected graph
title_full Distributed adaptive time‐varying formation of multi‐UAV systems under undirected graph
title_fullStr Distributed adaptive time‐varying formation of multi‐UAV systems under undirected graph
title_full_unstemmed Distributed adaptive time‐varying formation of multi‐UAV systems under undirected graph
title_short Distributed adaptive time‐varying formation of multi‐UAV systems under undirected graph
title_sort distributed adaptive time varying formation of multi uav systems under undirected graph
topic adaptive control
aircraft control
distributed control
url https://doi.org/10.1049/itr2.12446
work_keys_str_mv AT xincai distributedadaptivetimevaryingformationofmultiuavsystemsunderundirectedgraph
AT xiaozhouzhu distributedadaptivetimevaryingformationofmultiuavsystemsunderundirectedgraph
AT wenyao distributedadaptivetimevaryingformationofmultiuavsystemsunderundirectedgraph