Ocean Engineering最新文献_第2页

Energy consumption prediction for electric tugboats using GA-BiLSTM and adaptive operational mode recognition 基于GA-BiLSTM和自适应工作模式识别的电动拖船能耗预测

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-02-05 DOI: 10.1016/j.oceaneng.2026.124491

Tianchi Yan , Yongxing Wang , Wei Yuan

Accurate prediction of energy consumption is vital for optimizing the efficiency of electric vessels, alleviating range anxiety, and ensuring safe navigation. However, the frequent switching of operational modes in electric tugboats leads to highly fluctuating energy consumption patterns that are difficult for general-purpose models to capture. This paper proposes a operational-adaptive energy consumption prediction method for electric tugboats based on a genetic algorithm-optimized bidirectional long short-term memory (GA-BiLSTM) network. First, the temporal characteristics of real navigation data are analyzed. Energy consumption per unit distance is employed as a workload intensity factor to distinguish operational modes such as sailing, towing, and pushing, thereby constructing a dataset with operational features. Second, a baseline prediction model is established using the BiLSTM network to capture bidirectional temporal dependencies. The key hyperparameters including network depth, neuron count, and learning rate, are subsequently optimized via a genetic algorithm, resulting in the GA-BiLSTM prediction model. Experimental results indicate that the proposed model outperforms approaches such as Extreme Trees (ET), XGBoost, and Random Forest (RF), achieving a mean squared error (MSE) as low as 0.0897. These findings highlight the potential to enhance endurance and improve the operational efficiency of electric tugboats.

准确的能源消耗预测对于优化电动船舶效率、缓解航程焦虑、确保航行安全至关重要。然而，电动拖船操作模式的频繁切换导致能源消耗模式的高度波动，这是通用模型难以捕捉的。提出了一种基于遗传算法优化的双向长短期记忆（GA-BiLSTM）网络的电动拖船运行自适应能耗预测方法。首先，分析了真实导航数据的时间特征。采用单位距离能耗作为工作负荷强度因子，区分航行、拖曳、推动等作业模式，构建具有作业特征的数据集。其次，利用BiLSTM网络建立基线预测模型，捕获双向时间依赖性；随后，通过遗传算法对网络深度、神经元计数和学习率等关键超参数进行优化，得到GA-BiLSTM预测模型。实验结果表明，该模型优于极端树（ET）、XGBoost和随机森林（RF）等方法，均方误差（MSE）低至0.0897。这些发现强调了提高电动拖船续航能力和操作效率的潜力。

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引用次数: 0

Data-driven optimization of Darrieus wind turbine pairs under particle-laden atmospheric conditions using LES and machine learning 基于LES和机器学习的大气粒子负载条件下Darrieus风力机对数据驱动优化

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-02-04 DOI: 10.1016/j.oceaneng.2026.124511

Esmaeel Fatahian, Rakesh Mishra, Hossein Fatahian, Leigh Fleming, Frankie F. Jackson

This study develops a hybrid machine-learning framework that couples CFD and artificial neural networks to quantify and optimize the performance of paired Darrieus turbines in clean-air and particle-laden environments. Targeting arid, semi-arid, and coastal sites where airborne sand accelerates blade degradation, the framework resolves the influence of sand-induced surface roughness on turbine aerodynamics and power output. Clean-air CFD results are used to determine baseline optimal design parameters, which are subsequently tested under sand-particle conditions (0.5–2 mm) using LES to evaluate aerodynamic losses and erosion. A Single-Objective Genetic Algorithm (SOGA) identifies the turbine configuration that maximizes the average power coefficient (C_P). Results show that larger sand particles significantly reduce performance, with a 4.8% decrease in C_P at a tip speed ratio of 2.24. Regression analysis reveals a strong correlation between particle size and blade erosion rate. The results show that leading-edge erosion reduces the pressure difference across the blade, slightly increases suction-side pressure at θ = 0°, weakens the suction peak at θ = 75°, and decreases flow attachment at θ = 150°. Lift is significantly lowered in the upwind region, while delayed flow reattachment and weaker lift recovery occur in the downwind region. Cumulative erosion analysis indicates that blades exposed to 0.5 mm particles exceed the 2 mm erosion limit in under two years, while exposure to 2 mm particles leads to critical wear within months, far below the 15-year design life.

本研究开发了一种混合机器学习框架，将CFD和人工神经网络结合起来，量化和优化配对Darrieus涡轮机在清洁空气和充满颗粒的环境中的性能。该框架以干旱、半干旱和沿海地区为目标，在这些地区，风沙加速了叶片的退化，解决了风沙引起的表面粗糙度对涡轮空气动力学和功率输出的影响。清洁空气CFD结果用于确定基线优化设计参数，随后使用LES在沙粒条件下（0.5-2 mm）进行测试，以评估气动损失和侵蚀。单目标遗传算法（SOGA）确定了最大平均功率系数（CP）的涡轮配置。结果表明，较大的砂粒显著降低了性能，在尖端速比为2.24时，CP降低了4.8%。回归分析表明，颗粒大小与叶片侵蚀速率之间存在很强的相关性。结果表明：前缘侵蚀减小了叶片间的压差，在θ = 0°处吸力侧压力略有增加，在θ = 75°处吸力峰减弱，在θ = 150°处流动依附减小；在逆风区域，升力明显降低，而在下风区域，流动再附着延迟，升力恢复较弱。累积侵蚀分析表明，暴露在0.5 mm颗粒中的叶片在不到两年的时间内就超过了2mm的侵蚀极限，而暴露在2mm颗粒中的叶片在几个月内就会出现临界磨损，远远低于15年的设计寿命。

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引用次数: 0

Interpretation of soil deformation characteristics based on in-situ test: A comprehensive review 基于原位试验的土体变形特征解释综述

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-02-04 DOI: 10.1016/j.oceaneng.2026.124508

Zhongkun Ouyang , Hualei Feng , Jun Yang , Xiaoqiang Gu , Jie Shi , Haoxi Li

In-situ testing methods have become indispensable for evaluating soil deformation properties in geotechnical engineering, offering a means to characterize soil stiffness under true field conditions. Accurate in-situ characterization of soil deformation parameters is crucial for advanced geotechnical analysis, particularly in understanding soil stiffness across various strain levels. Traditional laboratory tests are limited by sample disturbance, scale effects, and inability to reproduce in-situ stress–strain history, motivating greater reliance on in-situ methods. This review synthesizes the recent development of mechanisms, operational principles, and interpretation of in-situ tests, and provides a systematic analysis of deformation parameters such as Young's modulus, constrained modulus, and shear modulus across various strain ranges. The strong strain-dependent nonlinearity of soil stiffness is proposed with each method capturing moduli at distinct strain levels. The effects of dynamic loading protocols on in-situ soil stiffness are analyzed. A hyperbolic degradation model for the prediction of soil stiffness is illustrated. The prospective future and important insights of the in-situ tests to be utilized in soil deformation properties can be concluded from the review, although some potential technical issues, including defining relevant stress-strain levels, disturbance effects, and strain-dependent nonlinearity, require further study.

在岩土工程中，原位测试方法已成为评估土变形特性不可或缺的手段，它提供了一种在真实现场条件下表征土刚度的手段。准确的土壤变形参数的原位表征对于高级岩土分析至关重要，特别是在理解不同应变水平的土壤刚度方面。传统的实验室测试受到样品干扰、尺度效应和无法重现原位应力-应变历史的限制，促使更多地依赖于原位方法。这篇综述综合了最近的发展机制，操作原理和现场试验的解释，并提供了一个系统的变形参数分析，如杨氏模量，约束模量和剪切模量在不同的应变范围。提出了土壤刚度的强应变依赖非线性，每种方法在不同应变水平上捕获模量。分析了动力加载方案对原位土体刚度的影响。提出了一种预测土体刚度的双曲退化模型。虽然一些潜在的技术问题，包括确定相关的应力-应变水平、扰动效应和应变相关非线性，需要进一步研究，但可以从综述中总结出用于土变形特性的原位试验的前景和重要见解。

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引用次数: 0

Intelligent ship anchorage management: A novel OBS-MLP fusion framework with multi-modal feature decoupling for multi-vessel collaborative optimization 智能船舶锚地管理：基于多模态特征解耦的OBS-MLP融合框架

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-02-04 DOI: 10.1016/j.oceaneng.2026.124504

Jianjun Chen

Addressing the inefficiencies and significant safety risks in collaborative decision-making for multi-vessel anchoring during offshore wind farm construction, this study proposes an intelligent anchorage management approach based on the Optimal Brain Surgeon-Multi-Layer Perceptron (OBS-MLP) fusion algorithm. A three-level optimization framework of “feature decoupling—dynamic pruning—preference decision” is developed, integrating the advantages of decision trees and neural networks. The OBS pruning strategy reduces model parameter redundancy, overcoming the “curse of dimensionality” in high-dimensional decision spaces. A multi-modal feature fusion mechanism is established to facilitate hierarchical extraction and collaborative optimization of static environmental features and dynamic interaction features. Finally, a preference decision model under mixed-integer programming constraints is designed to quantify the economic and safety weights of various adjustment strategies. Using an offshore wind farm in Guangdong as a case study, the algorithm achieves an average accuracy of 95.3 % (8.05 % higher than single-algorithm performance), and an average response time of 0.9 s (a 30.77 % reduction), effectively mitigating safety risks associated with anchoring operations. This research offers an efficient solution for multi-vessel anchoring collaboration and advances the digital transformation of maritime safety management.

针对海上风电场建设过程中多船锚泊协同决策效率低、安全风险大的问题，提出了一种基于最优脑外科-多层感知器（OBS-MLP）融合算法的智能锚泊管理方法。结合决策树和神经网络的优点，提出了“特征解耦-动态剪枝-偏好决策”的三级优化框架。OBS剪枝策略减少了模型参数冗余，克服了高维决策空间中的“维数诅咒”。建立多模态特征融合机制，实现静态环境特征和动态交互特征的分层提取和协同优化。最后，设计了混合整数规划约束下的偏好决策模型，量化了各种调整策略的经济权重和安全权重。以广东海上风电场为例，该算法的平均准确率达到95.3%（比单一算法提高8.05%），平均响应时间为0.9 s（降低30.77%），有效降低了锚定作业相关的安全风险。该研究为多船锚泊协作提供了有效的解决方案，推进了海上安全管理的数字化转型。

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引用次数: 0

A fast equivalent source method for underwater broadband sound prediction based on dynamic mode decomposition parameter extrapolation 基于动态模态分解参数外推的水下宽带声快速等效源预测方法

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-02-04 DOI: 10.1016/j.oceaneng.2026.124466

Lv Yan, Gao Wei, Li Xiaolei, Wang Haozhong

Efficient broadband sound field computation is vital for ocean engineering applications like seabed exploration and underwater target detection. While the Equivalent Source Method (ESM) is effective for underwater sound field prediction, its broadband efficiency is limited by the frequency-sweeping approach, where computation time increases linearly with bandwidth. This paper proposes the DMD-ESM for rapid broadband prediction. The method: (1) solves equivalent source strength distributions using sound field data at sparse frequencies within the target band; (2) applies Dynamic Mode Decomposition (DMD) to these distributions to build an empirical modal model, enabling source strength extrapolation to any frequency in the band; (3) calculates the sound field at target frequencies using the extrapolated source strengths. By requiring only a limited number of frequency samples, DMD-ESM achieves high efficiency. Numerical results show over 80% higher computational efficiency than conventional frequency-sweeping while maintaining equivalent accuracy. Key parameters affecting precision are analyzed, with empirical application ranges provided. The upper extrapolation frequency f_max is bounded by d ≤ c_w/(2f_max) to ensure the equivalent source spacing remains between 1/5 and 1/2 wavelength, thereby preventing spatial undersampling. Finally, sea trial validation confirms effectiveness and engineering practicality: predicted versus measured sound field correlation averages over 0.75, power spectrum results errors average below 4 dB, and computation time is reduced by over 70%.

高效的宽带声场计算对于海底勘探和水下目标探测等海洋工程应用至关重要。等效源法（ESM）是一种有效的水下声场预测方法，但其宽带效率受到扫频法的限制，计算时间随带宽线性增加。本文提出了用于宽带快速预测的DMD-ESM。该方法：(1)利用目标频带内稀疏频率声场数据求解等效声源强度分布；(2)对这些分布应用动态模态分解（DMD）建立经验模态模型，使源强度外推到频带内的任何频率；(3)利用外推的声源强度计算目标频率下的声场。DMD-ESM只需要有限数量的频率采样，从而实现了高效率。数值计算结果表明，在保持等效精度的前提下，该算法的计算效率比传统扫频算法提高80%以上。分析了影响精度的关键参数，给出了经验适用范围。上外推频率fmax以d ≤ cw/(2fmax)为界，确保等效源间距保持在1/5和1/2波长之间，从而防止空间过采样。最后，海试验证验证了有效性和工程实用性：预测与实测声场相关平均值大于0.75，功率谱结果误差平均值小于4 dB，计算时间减少了70%以上。

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引用次数: 0

A lightweight adaptive torque control of PMSG-based offshore wind turbines using a finite-step incremental search strategy for region-III operation under variable air density conditions 基于pmsg的海上风力发电机在变空气密度条件下的轻量自适应转矩控制

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-02-04 DOI: 10.1016/j.oceaneng.2026.124377

Mayilsamy Ganesh , Jae Hoon Jeong

This study proposes a lightweight adaptive torque control (LATC) scheme to adjust the torque reference setting of a permanent magnet synchronous generator (PMSG)-based offshore wind turbine system (OWTS), ensuring precise rated power generation in region-iii under fluctuating air density conditions. Traditional region-iii regulation schemes assume constant air density for torque reference setting in PMSG control and rely on speed activated pitch regulation without involving generator electric power feedback. This leads to power inconsistencies and suboptimal rotor speed regulation during temperature-induced environmental changes. To address this, the proposed approach continuously updates the air density during region-iii operation over successive control cycles until effective rated power tracking is achieved. To achieve this, a finite-step incremental search (FSIS) algorithm is formulated to increment or decrement the air density update. In this, the stator electric power is predicted by employing the discrete PMSG model for three possible air density update values, and the optimum update that minimizes the stator power tracking error is applied in the torque reference setting at each successive sampling instant. The proposed strategy is validated using a detailed 1.5MW PMSG-based OWTS simulations. The results highlight the proposed scheme’s adaptability in sustaining rated power, outperforming conventional fixed-parameter region-iii control schemes.

本研究提出了一种轻量级自适应转矩控制（LATC）方案，用于调整基于永磁同步发电机（PMSG）的海上风力发电系统（OWTS）的转矩参考设置，以确保在波动空气密度条件下iii区精确的额定发电量。传统的iii区调节方案在PMSG控制中假设恒定空气密度作为转矩参考设定，并且依赖于速度激活螺距调节，不涉及发电机电力反馈。这导致功率不一致和次优转子调速期间温度诱导的环境变化。为了解决这个问题，所提出的方法在连续的控制周期内不断更新iii区运行期间的空气密度，直到实现有效的额定功率跟踪。为了实现这一目标，制定了有限步增量搜索（FSIS）算法来增加或减少空气密度更新。其中，采用离散PMSG模型对三个可能的空气密度更新值进行定子电功率预测，并在每个连续采样时刻的转矩参考设置中应用最小定子电功率跟踪误差的最优更新。通过1.5MW pmsg的OWTS仿真验证了所提出的策略。结果表明，该方案在维持额定功率方面具有较好的适应性，优于传统的固定参数区域iii控制方案。

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引用次数: 0

Floating wind turbine control using fictitious force decoupling 浮式风力机的虚拟力解耦控制

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-02-04 DOI: 10.1016/j.oceaneng.2026.124489

Nitin Sivakumar , Luis Recalde-Camacho , William E. Leithead , Sung-Ho Hur

Floating wind turbines present control challenges absent in bottom-fixed systems. Platform motion excites low-frequency rigid-body modes within the operational bandwidth of standard controllers. This interaction generates right-half-plane zeros in the pitch (input) to generator speed (output) dynamics near the platform’s natural frequency, reducing phase margin and limiting achievable bandwidth. This study proposes a fictitious force-based decoupling control framework that reformulates turbine dynamics in a non-inertial nacelle-attached reference frame. In this frame, accelerations due to platform motion appear as fictitious forces that impair control performance. To mitigate their effect, an additive correction, corresponding to the fictitious forces, is applied to the measured generator speed used by a conventional bottom-fixed controller. This decoupling prevents the controller from reacting to platform-induced motion, which would otherwise degrade control performance. The fictitious forces are estimated from nacelle acceleration measurements and three fictitious-force models of different complexity, introduced in this paper. They are then augmented to the measured generator speed, enabling the direct reuse of bottom-fixed controllers without retuning. The approach is assessed using a high-fidelity aeroelastic model of a 5 MW reference turbine, and results demonstrate that the proposed strategy suppresses platform motion and tower loads, while maintaining speed regulation comparable to the bottom-fixed case.

浮式风力涡轮机的控制挑战在底部固定系统中是不存在的。平台运动在标准控制器的工作带宽内激发低频刚体模式。这种相互作用在俯仰（输入）到发电机速度（输出）动态中产生右半平面零，接近平台的固有频率，减少了相位裕度并限制了可实现的带宽。本研究提出了一个虚构的基于力的解耦控制框架，该框架在非惯性系舱附加参考系中重新表述了涡轮动力学。在这种情况下，由于平台运动而产生的加速度表现为损害控制性能的虚拟力。为了减轻它们的影响，对传统的底部固定控制器使用的测量发电机转速施加了与虚拟力相对应的加性校正。这种解耦可以防止控制器对平台引起的运动做出反应，否则会降低控制性能。本文从机舱加速度测量和三种不同复杂程度的虚拟力模型中估计了虚拟力。然后将它们增加到测量的发电机速度，从而可以直接重用底部固定控制器而无需返回。利用5mw参考涡轮机的高保真气动弹性模型对该方法进行了评估，结果表明，该策略抑制了平台运动和塔架载荷，同时保持了与底部固定情况相当的速度调节。

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引用次数: 0

An efficient SPH-FEM model for three-dimensional fluid-structure interactions via direct particle-surface mesh coupling 基于直接颗粒-表面网格耦合的三维流固耦合高效SPH-FEM模型

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-02-04 DOI: 10.1016/j.oceaneng.2026.124474

Xiang-Shan Guan , Peng-Nan Sun , Xiong Zhang , Xin-Yun Ni , Chun-Mei Xie

The precise simulation of three-dimensional fluid-structure interaction (FSI) phenomena has always been a hot topic in computational mechanics. To solve FSI problems, a bidirectional coupling strategy technique between the Smoothed Particle Hydrodynamics (SPH) method and Finite Element Method (FEM) is proposed based on a single-layer particle boundary technique in this paper, enabling efficient three-dimensional coupling between fluid particles and solid elements. Within the proposed SPH-FEM coupling framework, a mapping relationship is constructed between surface meshes and single-layer SPH particles, where the surface meshes share nodes with solid elements to transmit external loads. At the same time, the single-layer particles serve as solid boundaries for the SPH solver. The approach eliminates the need for additional boundary treatments and node arrangements required in conventional SPH-FEM coupling algorithms, significantly improving data exchange efficiency between the SPH and FEM modules. The model introduces a boundary shield algorithm and permits different particle/mesh resolutions at the fluid-structure interface, enabling the simulation of three-dimensional FSI problems with complex geometries. Afterwards, the improved SPH-FEM coupling model is adopted to carry out numerical simulations of typical FSI problems, such as the water impact of a wedge, the deformation of an elastic plate under dam-break flows, the flexible floating body under dam-break flows, and the dynamic response of a flexible ship under waves. The numerical results are compared and verified with reference results, proving the computational accuracy of the SPH-FEM coupling algorithm in the FSI problem and broadening the application prospects of the SPH method in engineering problems.

三维流固相互作用（FSI）现象的精确模拟一直是计算力学研究的热点。针对FSI问题，本文提出了一种基于单层颗粒边界技术的光滑颗粒流体力学（SPH）方法与有限元法（FEM）之间的双向耦合策略技术，实现了流体颗粒与固体单元之间的高效三维耦合。在SPH- fem耦合框架内，建立了表面网格与单层SPH粒子之间的映射关系，其中表面网格与实体单元共享节点传递外载荷。同时，单层粒子作为SPH求解器的固体边界。该方法消除了传统SPH-FEM耦合算法中额外的边界处理和节点布置，显著提高了SPH和FEM模块之间的数据交换效率。该模型引入了边界屏蔽算法，并允许在流固界面上使用不同的颗粒/网格分辨率，从而能够模拟具有复杂几何形状的三维FSI问题。随后，采用改进的SPH-FEM耦合模型，对楔形板的水冲击、弹性板在溃坝流作用下的变形、柔性浮体在溃坝流作用下的动力响应、柔性船舶在波浪作用下的动力响应等典型弹性力学问题进行了数值模拟。将数值结果与参考结果进行对比验证，证明了SPH- fem耦合算法在FSI问题中的计算精度，拓宽了SPH方法在工程问题中的应用前景。

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引用次数: 0

Research on bow slamming loads and whipping response's characteristics in hydroelastic experiment by FBG method 用光纤光栅法研究船首撞击载荷及水弹试验中摆动响应特性

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-01-31 DOI: 10.1016/j.oceaneng.2026.124434

Yiwen Wang , Hantao Zhang , Miaozhu Wang , Xiangshao Kong , Cheng Zheng , Guangyu Tian , Yuran Li

Under severe sea states with significant bow emergence and immersion, violent ship relative motion induces substantial bow structural slamming loads. Slamming loads induce structural whipping response, sharply increasing overall structural stress and severely threatens ship safety. In order to investigate characteristics of slamming loads and whipping response under wave, this research conducted segmented variable cross-section backbone hydroelastic model experiment, in which were firstly utilized FBG (Fiber Bragg Grating) method to measure and analyze the whipping response of the ship. The research analyzes slamming loads on the ship bow by integrating the bow wave entry motion. Furthermore, it investigates the whipping response and explores the correlations between slamming loads and whipping response. The results confirmed the reliability of FBG method in measuring whipping response. Severe slamming loads on the bow caused the 2nd harmonic response component amplitude to reach 60.81 % of the wave frequency component. The superposition of multi-order harmonic responses leads to a 72.35 % increase in the sagging bending moment. This research analyzes the bow motion, slamming loads, whipping response and ship structural responses by FBG method. It provides a reference for the application of FBG method in measuring the whipping response under nonlinear wave loads.

在严重的船首出沉海况下，剧烈的船舶相对运动引起了巨大的船首结构撞击载荷。冲击载荷引起结构的振荡响应，使结构整体应力急剧增大，严重威胁船舶安全。为了研究船舶在波浪作用下的甩动载荷和甩动响应特性，本研究进行了分段变截面骨干水弹性模型试验，首次利用光纤光栅（FBG）方法对船舶的甩动响应进行了测量和分析。通过对船首波进入运动的积分分析，分析了船首的撞击载荷。此外，还研究了鞭挞响应，并探讨了鞭挞载荷与鞭挞响应之间的关系。结果证实了FBG法测量振荡响应的可靠性。船首剧烈的撞击载荷使二次谐波响应分量幅值达到了波频分量的60.81%。多阶谐波响应的叠加使弯曲弯矩增大72.35%。本文采用光纤光栅法分析了船首运动、冲击载荷、摆动响应和船舶结构响应。为光纤光栅法测量非线性波浪载荷下的振荡响应提供了参考。

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引用次数: 0

Finite-time trajectory tracking of air cushion vehicles under dynamic event-triggered control and unknown disturbances 动态事件触发控制和未知干扰下气垫飞行器的有限时间轨迹跟踪

IF 5.5 2区工程技术 Q1 ENGINEERING, CIVIL

Ocean Engineering

Pub Date : 2026-01-30 DOI: 10.1016/j.oceaneng.2026.124276

Bingjia Chi , Yuanhui Wang , Yang Hao , Yitian Guan

In this research, we propose a finite-time dynamic event-triggered control strategy with communication optimization for air cushion vehicle (ACV) trajectory tracking under the influence of high-frequency actuator activity, external disturbances, and model uncertainties. While a finite-time observer estimates and compensates for aggregated unknown disturbances in real time, a backstepping-based finite-time controller is created to guarantee rigorous finite-time convergence of the tracking error. A dynamic event-triggered control (DETC) system modifies control inputs only in response to certain triggering conditions, therefore reducing communication burden and suppressing unnecessary actuator activities. Using Lyapunov theory, the closed-loop system's finite-time stability is convincingly demonstrated. In comparison to traditional backstepping and integral sliding mode control techniques, two case studies demonstrate that the suggested approach provides faster convergence, significantly reduces communication demands, and mitigates actuator wear.

在本研究中，我们提出了一种具有通信优化的有限时间动态事件触发控制策略，用于气垫车辆（ACV）在高频执行器活动、外部干扰和模型不确定性影响下的轨迹跟踪。在有限时间观测器实时估计和补偿聚集的未知干扰的同时，创建了基于反步的有限时间控制器以保证跟踪误差的严格有限时间收敛。动态事件触发控制（DETC）系统仅在响应某些触发条件时修改控制输入，从而减少通信负担并抑制不必要的执行器活动。利用李雅普诺夫理论，令人信服地证明了闭环系统的有限时间稳定性。与传统的反演和积分滑模控制技术相比，两个案例研究表明，该方法具有更快的收敛速度，显著降低了通信需求，并减轻了执行器的磨损。

引用次数: 0