水下无人航行器设计具有参数多、目标性能相互耦合的特点，传统设计方法在平衡各个设计目标过程中占用过多时间和计算资源，影响设计进程。多目标优化方法通过多性能的参数化建模给水下无人航行器的优化设计提供了简洁有效的解决方案，提升了设计效率与质量。本文对多目标优化方法在水下无人航行器设计上的研究进行整理与总结，首先概述多目标优化方法的优化机理，强调水下无人航行器多目标优化设计的优势性；其次围绕外形、结构、动力推进等几个设计方向上的多目标问题，总结归纳了当前的研究进展；最后结合未来发展趋势，提出水下无人航行器多目标优化设计的发展设想，旨在为相关技术研究提供有益借鉴与参考。
The design of underwater unmanned vehicles is characterized by the coupling of multiple objectives with numerous parameters, and traditional design methods occupy too much time and computing resources in the process of balancing various design objectives, which affects the design process. Multi-objective optimization methods provide a concise and effective solution for the optimization design of underwater unmanned vehicles by parameterizing multiple performance measures, which improves both design efficiency and quality. In this paper, the research progress and achievements in multi-objective optimization methods applied to design of underwater unmanned vehicles are summarized and organized. Firstly, the optimization mechanism of multi-objective optimization methods is outlined, emphasizing the advantages of multi-objective optimization design for underwater unmanned vehicles. Then, the research progress of multi-objective problems in several design directions, including external shape, structure, and propulsion, is summarized. Finally, combining with the future development trend, the development of multi-objective optimization design of underwater unmanned vehicles is proposed, which provides useful references for related technological research.
2024,46(10): 9-15 收稿日期：2023-05-19
DOI：10.3404/j.issn.1672-7649.2024.10.002
分类号：U674.941
作者简介：吴昌脉(1996-),男,硕士,助理工程师,研究方向为水下无人平台总体设计
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