Cooperative Constrained Enclosing Control of Multirobot Systems in Obstacle Environments

Ke Lu, Shi Lu Dai, Xu Jin

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

This article develops a novel cooperative constrained control framework to solve the moving-target enclosing problem for multirobot systems, where safe navigation and formation precision are concerned in obstacle environments. When moving obstacles block the encircling motion, the enclosing formation contracts toward the target with a precise spacing pattern. Without a priori knowledge of environmental information, the mobile robot group can track and enclose a moving target while guaranteeing limited sensing requirements and collision avoidance with the target, neighboring robots, and obstacles. Under the precision constraint, with an encircling speed assigned to only one robot, the mobile robots are driven by their neighbors until all robots enclose the target as a whole. With the help of velocity observers, the robot group can converge to a small neighborhood of the desired enclosing formation without knowing the target's velocity. Simulation results demonstrate the effectiveness of the proposed constrained control strategy.

Original languageEnglish
Pages (from-to)718-730
Number of pages13
JournalIEEE Transactions on Control of Network Systems
Volume11
Issue number2
DOIs
StatePublished - Jun 1 2024

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Funding

The work of Ke Lu and Shi-Lu Dai was supported in part by the National Natural Science Foundation of China under Grant 42227901, Grant 61973129, Grant 62273156, and Grant 62073090, in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2021A1515012004 and Grant 2023A1515011423, and in part by the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) under Grant SML2022008. The work of Xu Jin was supported in part by the United States National Science Foundation under Grant 2131802.

FundersFunder number
Basic and Applied Basic Research Foundation of Guangdong Province2023A1515011423, 2021A1515012004
National Natural Science Foundation of China (NSFC)42227901, 62273156, 62073090, 61973129
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)SML2022008
National Science Foundation Arctic Social Science Program2131802

    Keywords

    • Barrier function
    • collision avoidance
    • limited sensing
    • obstacle avoidance
    • target enclosing

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Signal Processing
    • Computer Networks and Communications
    • Control and Optimization

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