An FASA-Based Predefined-Time Tracking Sliding-Mode Control for Marine Surface Vehicles

Marine surface vehicles (MSV) are applied in many scenarios, but designing controllers of MSV is challenging due to the complexity of models and the interference of disturbances. To address this issue, a fully-actuated system approach (FASA) based predefined-time tracking control method is developed in this paper, which transforms the dynamic system of MSV tracking error into a fully-actuated system (FAS), and a FASA based predefined-time sliding mode tracking control approach is proposed. By implementing this control scheme proposed in the paper, the MSV's tracking error is driven to the origin in a predefined time. Then the Lyapunov theory is utilized to prove the stability of the proposed method. Finally, some numerical simulations are provided to validate its effectiveness.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138545
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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An FASA-Based Predefined-Time Tracking Sliding-Mode Control for Marine Surface Vehicles

Teng‐Fei Ding, Ming‐Feng Ge, Yifan Li, Xing Zheng et al.
Adaptive Control of Nonlinear Systems
article

An FASA-Based Predefined-Time Tracking Sliding-Mode Control for Marine Surface Vehicles

Teng‐Fei Ding, Ming‐Feng Ge, Yifan Li, Xing Zheng, Qian Chen
article en

Abstract

Marine surface vehicles (MSV) are applied in many scenarios, but designing controllers of MSV is challenging due to the complexity of models and the interference of disturbances. To address this issue, a fully-actuated system approach (FASA) based predefined-time tracking control method is developed in this paper, which transforms the dynamic system of MSV tracking error into a fully-actuated system (FAS), and a FASA based predefined-time sliding mode tracking control approach is proposed. By implementing this control scheme proposed in the paper, the MSV's tracking error is driven to the origin in a predefined time. Then the Lyapunov theory is utilized to prove the stability of the proposed method. Finally, some numerical simulations are provided to validate its effectiveness.

China University of Geosciences (CN)
Openalex Percentile: Top 69%
Adaptive Control of Nonlinear Systems
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