Under real wave model unmanned surface vessel trajectory tracking with state and actuator constraints

This paper addresses the critical issue of dynamic performance constraints for unmanned surface vessels (USVs) operating under real maritime conditions. First, to accurately characterize the effect of ocean waves on unmanned vessels, a wave disturbance model is established based on actual ocean wave measurements, which provides more accurate representation of maritime environmental disturbances. Subsequently, an optimized barrier Lyapunov function is designed to constrain the position errors that occur during the USV’s trajectory tracking process. Furthermore, a state-constrained control strategy that incorporates propeller dynamics is developed, which can effectively mitigate oscillations in control inputs. Finally, numerical simulations using SimuNPS software demonstrate that the proposed control strategy exhibits significant advantages over existing methods.

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Institutions

Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-05-18
DOI
https://doi.org/10.1177/01423312251333820
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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Under real wave model unmanned surface vessel trajectory tracking with state and actuator constraints

Yunsheng Fan, Hongbiao Li, Ben Niu, Dongdong Mu et al.
1 citations
Transactions of the Institute of Measurement and Control
Adaptive Control of Nonlinear Systems
1.21
article

Under real wave model unmanned surface vessel trajectory tracking with state and actuator constraints

Yunsheng Fan, Hongbiao Li, Ben Niu, Dongdong Mu, Xiaomeng He
article en
1 citations

Abstract

This paper addresses the critical issue of dynamic performance constraints for unmanned surface vessels (USVs) operating under real maritime conditions. First, to accurately characterize the effect of ocean waves on unmanned vessels, a wave disturbance model is established based on actual ocean wave measurements, which provides more accurate representation of maritime environmental disturbances. Subsequently, an optimized barrier Lyapunov function is designed to constrain the position errors that occur during the USV’s trajectory tracking process. Furthermore, a state-constrained control strategy that incorporates propeller dynamics is developed, which can effectively mitigate oscillations in control inputs. Finally, numerical simulations using SimuNPS software demonstrate that the proposed control strategy exhibits significant advantages over existing methods.

Transactions of the Institute of Measurement and Control
Jilian Technology Group (China) (CN), China Academy of Transportation Sciences (CN), Dalian Maritime University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 21%
Adaptive Control of Nonlinear Systems
1.21
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Under real wave model unmanned surface vessel trajectory tracking with state and actuator constraints — Yunsheng Fan, Hongbiao Li, et al. · Transactions of the Institute of Measurement and Control (2025) | TGRS Research Map | TGRS