Cooperative Capture of a Faster Free-Moving Target by Multiple USVs

The problem of cooperative capture has always been one of the research focus in cooperative systems of multiple unmanned surface vehicles (USVs). In the cooperative capture problem, effectively capturing targets whose speed are faster than USVs has been a challenge. Most research has been limited by initializing USVs around the target which restricts the application scenarios of the methods and it is difficult to maintain the encirclement of the target throughout the process, leading to the potential escape of the target. Furthermore, the existing works impose constraints on the faster target, such as limited moving area and moving direction. To address these issues, a cooperative capture strategy in this article based on the Apollonius Circle model and particle swarm optimization is proposed to obtain the optimal motion position. Simulation experiments are conducted under different initial positions, and the results demonstrate that the method proposed can successfully capture the target with good success rate while ensuring a certain level of encirclement, thereby the effectiveness and adaptability of the strategy are verified.

Authors

Institutions

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10868942
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cooperative Capture of a Faster Free-Moving Target by Multiple USVs

Jia Zhang, Jian Wu, Yan Peng, Rui Song
Guidance and Control Systems
article

Cooperative Capture of a Faster Free-Moving Target by Multiple USVs

Jia Zhang, Jian Wu, Yan Peng, Rui Song
article en

Abstract

The problem of cooperative capture has always been one of the research focus in cooperative systems of multiple unmanned surface vehicles (USVs). In the cooperative capture problem, effectively capturing targets whose speed are faster than USVs has been a challenge. Most research has been limited by initializing USVs around the target which restricts the application scenarios of the methods and it is difficult to maintain the encirclement of the target throughout the process, leading to the potential escape of the target. Furthermore, the existing works impose constraints on the faster target, such as limited moving area and moving direction. To address these issues, a cooperative capture strategy in this article based on the Apollonius Circle model and particle swarm optimization is proposed to obtain the optimal motion position. Simulation experiments are conducted under different initial positions, and the results demonstrate that the method proposed can successfully capture the target with good success rate while ensuring a certain level of encirclement, thereby the effectiveness and adaptability of the strategy are verified.

Shanghai University (CN)
Ministry of Science and Technology
Openalex Percentile: Top 55%
Guidance and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.