Observer-based Practical Predefined-time Distributed Formation Control for AUVs

This paper proposes a distributed practical predefined-time formation control scheme for multi-AUV system in the presence of external disturbances. Firstly, a novel predefined-time sliding mode disturbance observer (PTSDO) is constructed , with which the external disturbances can be precisely estimated. On this basis, the predefined-time control theory and backstepping technique are integrated to guarantee the practical predefined-time convergence of the formation states. Furthermore, a novel predefined-time command filter is designed to cope with the repeated derivation calculation explosion problem. Finally, the effectiveness and rationality of the proposed formation control scheme are validated by numerous simulations.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/icrca64997.2025.11011089
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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0.00
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article

Observer-based Practical Predefined-time Distributed Formation Control for AUVs

Yu Zhang, Yuquan Chen, Yunkang Sun, Ashaduzzaman Md Nur
Distributed Control Multi-Agent Systems
article

Observer-based Practical Predefined-time Distributed Formation Control for AUVs

Yu Zhang, Yuquan Chen, Yunkang Sun, Ashaduzzaman Md Nur
article en

Abstract

This paper proposes a distributed practical predefined-time formation control scheme for multi-AUV system in the presence of external disturbances. Firstly, a novel predefined-time sliding mode disturbance observer (PTSDO) is constructed , with which the external disturbances can be precisely estimated. On this basis, the predefined-time control theory and backstepping technique are integrated to guarantee the practical predefined-time convergence of the formation states. Furthermore, a novel predefined-time command filter is designed to cope with the repeated derivation calculation explosion problem. Finally, the effectiveness and rationality of the proposed formation control scheme are validated by numerous simulations.

Hohai University (CN)
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Distributed Control Multi-Agent Systems
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