Flexible Formation Tracking Control of Multiple Unmanned Surface Vessels for Navigating Through Narrow Channels with Unknown Curvatures
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 2927-2938 |
Journal / Publication | IEEE Transactions on Industrial Electronics |
Volume | 70 |
Issue number | 3 |
Online published | 29 Apr 2022 |
Publication status | Published - Mar 2023 |
Link(s)
Abstract
This paper proposes a flexible formation tracking control protocol (FFTC) for multiple unmanned surface vessels (USVs) to pass through narrow water channels with unknown curvatures. An observer is developed to estimate the curvatures of channels. A flexible formation tracking control protocol is thereby designed to steer USV fleets to pass through narrow channels in a flexible serial formation. Furthermore, the asymptotically stable conditions of the closed-loop multi-USV systems is theoretically derived. Finally, experimental results with a fleet of three HUSTER-30 USVs are reported to substantiate the effectiveness of the proposed FFTC protocol for navigating through narrow channel in a laboratory context.
Research Area(s)
- Channel estimation, Collision avoidance, Control systems, formation tracking control (FTC), Navigation, Observers, Protocols, Sea surface, Surges, unmanned surface vessels (USV)
Citation Format(s)
Flexible Formation Tracking Control of Multiple Unmanned Surface Vessels for Navigating Through Narrow Channels with Unknown Curvatures. / Tang, Chuancong; Zhang, Hai-Tao; Wang, Jun.
In: IEEE Transactions on Industrial Electronics, Vol. 70, No. 3, 03.2023, p. 2927-2938.
In: IEEE Transactions on Industrial Electronics, Vol. 70, No. 3, 03.2023, p. 2927-2938.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review