Global Fast Terminal Sliding Mode Control of Underwater Manipulator Based on Finite-Time Extended State Observer

This study investigates the trajectory-tracking control problem of a two-degree-of-freedom underwater manipulator operating in a complex disturbance environment. A dynamic model of the multi-link serial manipulator is first established. In this study, water resistance and additional mass forces acting on the manipulator are analyzed and calculated using differential analysis and the Morrison formula. To account for coupling between joints, the concept of equivalent gravity is introduced to precisely calculate the underwater manipulator’s buoyancy and gravity. As a result, a relatively accurate dynamic model of the underwater manipulator is established. To mitigate the influences of external disturbances and unmodeled parts on the manipulator, a finite-time extended state observer (FTESO) is designed to estimate system quantities that are difficult to measure directly. The robustness of the controller is enhanced using a feedforward compensation mechanism, and it is demonstrated that the observation error of the observer converges in finite time. Finally, a global fast terminal sliding mode controller (GFTSMC) is developed for trajectory tracking, integrated with the aforementioned observer, and designed to smooth and limit the controller’s output. The controller’s stability is proven using Lyapunov stability theory, and its effectiveness is verified through simulation-based comparison experiments.

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Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-05-25
DOI
https://doi.org/10.3390/jmse13061038
Citations
4
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
4.86

Funders

Controls
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article

Global Fast Terminal Sliding Mode Control of Underwater Manipulator Based on Finite-Time Extended State Observer

Junyu Wu, Jixiang Li, Weiquan Huang, He Wang et al.
4 citations
Journal of Marine Science and Engineering
Adaptive Control of Nonlinear Systems
4.86
article

Global Fast Terminal Sliding Mode Control of Underwater Manipulator Based on Finite-Time Extended State Observer

Junyu Wu, Jixiang Li, Weiquan Huang, He Wang, Ran Wang
article en
4 citations

Abstract

This study investigates the trajectory-tracking control problem of a two-degree-of-freedom underwater manipulator operating in a complex disturbance environment. A dynamic model of the multi-link serial manipulator is first established. In this study, water resistance and additional mass forces acting on the manipulator are analyzed and calculated using differential analysis and the Morrison formula. To account for coupling between joints, the concept of equivalent gravity is introduced to precisely calculate the underwater manipulator’s buoyancy and gravity. As a result, a relatively accurate dynamic model of the underwater manipulator is established. To mitigate the influences of external disturbances and unmodeled parts on the manipulator, a finite-time extended state observer (FTESO) is designed to estimate system quantities that are difficult to measure directly. The robustness of the controller is enhanced using a feedforward compensation mechanism, and it is demonstrated that the observation error of the observer converges in finite time. Finally, a global fast terminal sliding mode controller (GFTSMC) is developed for trajectory tracking, integrated with the aforementioned observer, and designed to smooth and limit the controller’s output. The controller’s stability is proven using Lyapunov stability theory, and its effectiveness is verified through simulation-based comparison experiments.

Journal of Marine Science and EngineeringVol. 13(6)
Harbin Engineering University (CN), Harbin Institute of Technology (CN)
National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 5%
Adaptive Control of Nonlinear Systems
4.86
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Global Fast Terminal Sliding Mode Control of Underwater Manipulator Based on Finite-Time Extended State Observer — Junyu Wu, Jixiang Li, et al. · Journal of Marine Science and Engineering (2025) | TGRS Research Map | TGRS