Fault-Tolerant Bipartite Formation Tracking Control of Multiple USVs: A Fully Distributed Observer-Based Approach

Guanghui Wen, Yan Zhou, Qiyu Yin, Dezhi Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the fault-tolerant bipartite formation tracking problem of the multi-unmanned surface vehicle systems in the presence of a dynamic leader and actuator faults is studied. To deal with this problem, a set of fully distributed observers is first designed to estimate the leader's states, then the command-filtered backstepping-based control scheme is proposed. The results demonstrate that the proposed control scheme ensures the uniformly ultimate boundedness of the tracking errors, effectively solving the bipartite formation tracking control problem for multi-unmanned surface vehicle. Finally, the effectiveness of the present control scheme is validated by implementing simulation experiments.

Original languageEnglish
Title of host publicationProceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024
EditorsRong Song
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1994-1999
Number of pages6
ISBN (Electronic)9798350384185
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Conference on Unmanned Systems, ICUS 2024 - Nanjing, China
Duration: 18 Oct 202420 Oct 2024

Publication series

NameProceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024

Conference

Conference2024 IEEE International Conference on Unmanned Systems, ICUS 2024
Country/TerritoryChina
CityNanjing
Period18/10/2420/10/24

Keywords

  • bipartite formation tracking
  • command-filtered backstepping control
  • dynamic leader
  • fault-tolerant control
  • Multi-unmanned surface vehicle system

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Wen, G., Zhou, Y., Yin, Q., & Zheng, D. (2024). Fault-Tolerant Bipartite Formation Tracking Control of Multiple USVs: A Fully Distributed Observer-Based Approach. In R. Song (Ed.), Proceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024 (pp. 1994-1999). (Proceedings of 2024 IEEE International Conference on Unmanned Systems, ICUS 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS61736.2024.10839981