Wave feedforward control for dynamic positioning vessel under swell-dominated floatover condition: A numerical and experimental study

Dynamic positioning (DP) floatover has become a widely adopted method for installing the topsides of offshore structures due to its cost-effectiveness and precise positioning capabilities. In swell-dominated seas, the thrusters of a DP vessel generate periodic forces that can lead to wear and tear on the actuators and potentially result in thruster failure during floatover operations. The usage of thrusters is a limiting factor in such conditions. This paper introduced a novel method to mitigate reciprocating forces using wave height prediction and feedforward control during floatover operations. A Kalman observer was employed to reconstruct the wave field in real-time based on wave height measurements obtained from the four legs of the jacket, which enabled the estimation of wave height at the center of the vessel and the prediction of swell frequency motion. By employing gain scheduling, the resistance from DP thrust was minimized. Numerical simulations and model-scale experiments demonstrated the effectiveness and adaptability of the proposed feedforward algorithm compared to two basic motion observers. The proposed methods significantly reduced the periodic thrust on the DP vessel, thereby overcoming the limitations of floatover operations in swell-dominated sea states. • Swell-frequency motion of the DP vessel was predicted under floatover scenarios. • The proposed feedforward DP method reduced the periodic resistance to swell. • Numerical and experimental tests were conducted to validate the proposed controller.

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Publication Details

Journal
Applied Ocean Research
Published
2025-01-01
DOI
https://doi.org/10.1016/j.apor.2024.104396
Citations
5
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
6.07

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article

Wave feedforward control for dynamic positioning vessel under swell-dominated floatover condition: A numerical and experimental study

B. Wang, Xiaoxian Guo, Xin Li
5 citations
Applied Ocean Research
Adaptive Control of Nonlinear Systems
6.07
article

Wave feedforward control for dynamic positioning vessel under swell-dominated floatover condition: A numerical and experimental study

B. Wang, Xiaoxian Guo, Xin Li
article en
5 citations

Abstract

Dynamic positioning (DP) floatover has become a widely adopted method for installing the topsides of offshore structures due to its cost-effectiveness and precise positioning capabilities. In swell-dominated seas, the thrusters of a DP vessel generate periodic forces that can lead to wear and tear on the actuators and potentially result in thruster failure during floatover operations. The usage of thrusters is a limiting factor in such conditions. This paper introduced a novel method to mitigate reciprocating forces using wave height prediction and feedforward control during floatover operations. A Kalman observer was employed to reconstruct the wave field in real-time based on wave height measurements obtained from the four legs of the jacket, which enabled the estimation of wave height at the center of the vessel and the prediction of swell frequency motion. By employing gain scheduling, the resistance from DP thrust was minimized. Numerical simulations and model-scale experiments demonstrated the effectiveness and adaptability of the proposed feedforward algorithm compared to two basic motion observers. The proposed methods significantly reduced the periodic thrust on the DP vessel, thereby overcoming the limitations of floatover operations in swell-dominated sea states. • Swell-frequency motion of the DP vessel was predicted under floatover scenarios. • The proposed feedforward DP method reduced the periodic resistance to swell. • Numerical and experimental tests were conducted to validate the proposed controller.

Applied Ocean ResearchVol. 154
Shanghai Jiao Tong University (CN), Sanya University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Adaptive Control of Nonlinear Systems
6.07
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