LYU M, GU N, LIU L, et al. Dynamic event trigger based cooperative path following control for multiple unmanned surface vehicles[J]. Chinese Journal of Ship Research, 2025, 20(1): 213–222 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03774
Citation: LYU M, GU N, LIU L, et al. Dynamic event trigger based cooperative path following control for multiple unmanned surface vehicles[J]. Chinese Journal of Ship Research, 2025, 20(1): 213–222 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03774

Dynamic event trigger based cooperative path following control for multiple unmanned surface vehicles

More Information
  • Received Date: January 31, 2024
  • Revised Date: March 25, 2024
  • Available Online: May 05, 2024
  • Published Date: November 17, 2024
© 2025 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Objectives 

    A dynamic event-triggered collaborative path-following control method for multiple unmanned surface vehicles (USVs) is proposed, considering the constraints of network bandwidth resources, model uncertainties, and external environmental disturbances.

    Methods 

    Specifically, a dynamic variable is introduced to design a dynamic event-triggered mechanism at the cooperation layer, and a dynamic event-triggered path parameter update law is developed to reduce network traffic. Additionally, a path-parameter predictor is designed to estimate the path parameters of neighboring USVs during the communication interval. In the guidance layer, a line-of-sight-based guidance law is proposed. Finally, in the control layer, a super-twisting observer is used to estimate the total disturbances, and a super-twisting dynamic control law is developed based on the estimated disturbances.

    Results 

    Stability and Zeno behavior analyses demonstrate that the closed-loop system is input-to-state stable, and the proposed approach does not exhibit Zeno behavior. Comparative simulation results validate the effectiveness of the proposed dynamic event-triggered cooperative path-following control method for USVs.

    Conclusions 

    The proposed method can achieve cooperative path following while reducing both transient and steady-state network traffic.

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