Time-Varying Formation Control of Autonomous Surface Vehicles Based on Affine Observer

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

12 Scopus Citations
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Author(s)

  • Chuancong Tang
  • Hai-Tao Zhang
  • Haosen Cao
  • Jun Wang

Detail(s)

Original languageEnglish
Pages (from-to)12952-12963
Number of pages12
Journal / PublicationIEEE Transactions on Industrial Electronics
Volume71
Issue number10
Online published5 Feb 2024
Publication statusPublished - Oct 2024

Abstract

This article addresses an affine-formation tracking control (AFTC) of underactuated autonomous surface vehicles (ASVs). A distributed observer is developed to estimate desired formation positions via an affine transformation. A trajectory tracking controller with prescribed-performance is designed to steer the ASV fleet with a time-varying formation pattern. Sufficient conditions are derived to guarantee the asymptotical stability of the closed-loop system governed by AFTC. Both numerical simulation and experimental results with five ASVs on a platform are elaborated to substantiate the effectiveness and superiority of the proposed AFTC method for achieving time-varying formation through narrow waterways. © 2024 IEEE.

Research Area(s)

  • Autonomous surface vehicles (ASVs), control systems, cooperative systems, Directed graphs, Formation control, Observers, Sea surface, Task analysis, Trajectory, Trajectory tracking

Citation Format(s)

Time-Varying Formation Control of Autonomous Surface Vehicles Based on Affine Observer. / Tang, Chuancong; Zhang, Hai-Tao; Cao, Haosen et al.
In: IEEE Transactions on Industrial Electronics, Vol. 71, No. 10, 10.2024, p. 12952-12963.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review