首页|Finite-time tracking control of heterogeneous multi-AUV systems with partial measurements and intermittent communication

Finite-time tracking control of heterogeneous multi-AUV systems with partial measurements and intermittent communication

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The development of a distributed trajectory-tracking control strategy that is independent of velocity measurements is critical to achieving finite-time tracking control of autonomous underwater vehicle(AUV)systems.In this study,a group of heterogeneous AUV systems with intermittent communication links is considered and a finite-time trajectory-tracking control strategy is developed.The strategy includes two observers and one controller proposed for each follower-AUV.The first observer,a hybrid finite-time observer,estimates the state of the leader,whereas the second observer,which relies only on the position measurement,is proposed to estimate the states of the follower-AUV itself.In addition,a distributed trajectory-tracking controller is designed using the states estimated by the intermittent communication network even without velocity measurements.A homogeneous technique is utilized to prove that all followers can track the leader in a finite time.Finally,the effectiveness of the developed finite-time tracking control strategy is illustrated by numerical simulations.

distributed observerfinite-time trackinghomogeneous techniqueintermittent communicationmultiple heterogeneous AUVs

Bo CHEN、Jiangping HU、Bijoy Kumar GHOSH

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School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China

Key Laboratory of Intelligent Analysis and Decision on Complex Systems,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

Yangtze Delta Region Institute(Huzhou),University of Electronic Science and Technology of China,Huzhou 313001,China

Department of Mathematics and Statistics,Texas Tech University,Lubbock TX 79409-1042,USA

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National Key Research and Development Program of ChinaSichuan Science and Technology Program

2022YFE013310024NSFSC1362

2024

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子:0.715
ISSN:1674-733X
年,卷(期):2024.67(5)
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