Research on Design and Optimization Methods for the Speed Performance of Autonomous Sailboats (面向航速最优的无人帆船设计与优化方法研究)

本论文系统研究了无人帆船在实际应用中普遍存在的“航速受限”问题，其根源在于航速提升与抗倾覆能力之间的内在矛盾。针对该问题，论文建立了基于 CFD 与优化算法的速度预报程序（VPP），用于高精度性能评估；提出一种仿真驱动的设计优化框架，结合贝叶斯优化与知识迁移，在稳性约束下高效优化船体-帆装构型；并引入被动水翼作为一种自适应稳性增强方案，以间接提升航速。通过“Seagull”原型试验与水动力数值仿真验证，上述方法为高性能无人帆船的设计提供了系统的理论基础与工程工具，可显著提升其海洋观测效率与作业区域可达性。

This study systematically addresses the critical speed limitation in autonomous sailboats caused by the inherent conflict between velocity and capsize resistance. It establishes a CFD and optimization-based Velocity Prediction Program (VPP) for accurate performance assessment, proposes a simulation-driven design framework utilizing Bayesian optimization and knowledge transfer to efficiently optimize hull-sail configurations under stability constraints, and introduces passive hydrofoils as an adaptive stabilization solution to indirectly boost speed. Validated through prototype testing (“Seagull”) and hydrodynamic simulations, these methods provide comprehensive theoretical foundations and practical tools for designing high-performance autonomous sailboats, significantly advancing their ocean observation efficiency and area accessibility.

Recommended citation: Yang An.(2023). "Design and Optimization Methods for Autonomous Sailboats Targeting Speed Performance." Ph.D. Dissertation.
Download Paper