Path Tracking Control for the Docking of Unmanned Surface Vessel

Xiaobo Shi*, Baokui Li, Qing Fei, Yijia Zhang

*Corresponding author for this work

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

Abstract

Avoiding collision between the unmanned surface vessel (USV) and the compartment of the mother ship is an important issue during the process of autonomous docking of the USV. To address this challenge, a new path-tracking control strategy utilized for the USV docking is proposed in this paper. Firstly, a geometric constraint model based on the lateral and yaw angle tracking errors is established for the docking scenario, and both the path curvature and the distance from the USV to the docking compartment are introduced to the design of the surge velocity. Then, the unmeasurable velocities and the lumped disturbances are estimated by using an extended state observer, and an adaptive super-twisting sliding mode controller is designed to improve the path-tracking accuracy and anti-disturbance ability. Finally, the effectiveness and the robustness of the controller are verified through numerical simulation.

Original languageEnglish
Title of host publicationProceedings of the 43rd Chinese Control Conference, CCC 2024
EditorsJing Na, Jian Sun
PublisherIEEE Computer Society
Pages4723-4728
Number of pages6
ISBN (Electronic)9789887581581
DOIs
Publication statusPublished - 2024
Event43rd Chinese Control Conference, CCC 2024 - Kunming, China
Duration: 28 Jul 202431 Jul 2024

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference43rd Chinese Control Conference, CCC 2024
Country/TerritoryChina
CityKunming
Period28/07/2431/07/24

Keywords

  • Docking
  • Extended State Observer
  • Path Tracking Control
  • Super-twisting Sliding Mode Control
  • USV

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