Autonomous sailboat velocity prediction program considering the sea-surface wind velocity gradient

IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Applied Ocean Research Pub Date : 2025-02-01 Epub Date: 2025-01-25 DOI:10.1016/j.apor.2025.104442
Zhaoyang Sun , Jiancheng Yu , Wentao Zhao , Feng Hu , Jin Wang , Qianlong Jin
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Abstract

A wingsail converts wind energy into a driving force, and the angle-of-attack polar curve of a wingsail must be obtained from a velocity prediction program (VPP) for the automatic sailing control of autonomous sailboats. Thus, a VPP is required to predict and evaluate the performance of autonomous sailboats. The wind under natural sea conditions has an atmospheric boundary layer, and its speed varies with altitude. Although wingsails are generally 1–2 m high, they are located in the bottom boundary layer of the atmosphere, where the wind speed changes rapidly. Thus, the effect of the wind velocity gradient on wingsail aerodynamic performance cannot be ignored. In this study, an autonomous sailboat VPP that considers the sea-surface wind velocity gradient was developed. The autonomous sailboat Seagull was considered as the research object. Moreover, the sailboat was modeled as a rigid body undergoing surge, roll, and yaw, and a three-degree-of-freedom mechanical equilibrium model of the autonomous sailboat was developed. The relationships between navigation resistance, heeling angle, drift angle, and velocity were calculated by computational fluid dynamics simulations using Star CCM+. The aerodynamic coefficients of the three-dimensional wingsail were calculated. The rigid wingsail was discretized along the height direction, and the aerodynamics of each unit were calculated by combining the wind velocity gradient model. Furthermore, the driving and lateral forces generated by the wingsail were obtained via integral summation. Optimization was performed to maximize the velocity of the sailboat, and the speed and wingsail angle-of-attack polar curves of the Seagull autonomous sailboat were obtained. Based on the calculation results, a comparative analysis was conducted regarding the changes in the maximum speed and optimal angle-of-attack of the autonomous sailboat, considering wind velocity gradients. Finally, the proposed VPP was verified by a comparative sea trial evaluating the sailing performance of two types of autonomous sailboat VPPs with and without considering wind velocity gradients. When the wind velocity gradient was considered, the upwind sailing ability and maximum speed of the autonomous sailboat outperformed those assuming a uniform constant-flow field.

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考虑海面风速梯度的自主帆船速度预测程序
翼帆将风能转化为动力,为实现自主帆船的自动航行控制,必须通过速度预测程序(VPP)获得翼帆的迎角极坐标曲线。因此,需要VPP来预测和评估自主帆船的性能。自然海况下的风有大气边界层,风速随高度变化。虽然翼帆高度一般为1-2米,但它们位于大气底边界层,风速变化很快。因此,风速梯度对翼帆气动性能的影响是不可忽视的。本研究开发了一种考虑海面风速梯度的自主帆船VPP。以自主帆船“海鸥”号为研究对象。在此基础上,将帆船建模为经历浪涌、横摇和偏航的刚体,建立了自主帆船的三自由度力学平衡模型。利用Star CCM+软件进行计算流体动力学仿真,计算了导航阻力、横倾角、漂移角和航速之间的关系。计算了三维翼帆的气动系数。将刚性翼帆沿高度方向离散化,结合风速梯度模型计算各单元的空气动力学。此外,对翼帆产生的驱动力和侧向力进行了积分求和。以帆船速度最大化为目标进行优化,得到了海鸥自主帆船的航速和翼帆攻角极坐标曲线。在计算结果的基础上,对比分析了考虑风速梯度的自主帆船最大航速和最优迎角的变化情况。最后,通过对比海上试验,对考虑和不考虑风速梯度的两种自主帆船VPP的航行性能进行了验证。考虑风速梯度时,自主帆船的逆风航行能力和最大航速优于均匀等流场。
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来源期刊
Applied Ocean Research
Applied Ocean Research 地学-工程:大洋
CiteScore
8.70
自引率
7.00%
发文量
316
审稿时长
59 days
期刊介绍: The aim of Applied Ocean Research is to encourage the submission of papers that advance the state of knowledge in a range of topics relevant to ocean engineering.
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