基于自适应模拟退火法的UUV艏部线型优化设计

裴 譞; 张宇文; 王亚东; 袁绪龙

doi:10.11993/j.issn.1673-1948.2011.02.002

基于自适应模拟退火法的UUV艏部线型优化设计

doi: 10.11993/j.issn.1673-1948.2011.02.002

西北工业大学航海学院, 陕西西安, 710072

详细信息

作者简介:
裴譞(1983-), 男, 在读博士, 研究方向为水下航行器总体设计与弹道计算.

中图分类号: TJ630.2
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- 被引次数: 0
出版历程
- 收稿日期: 2010-06-01
- 修回日期: 2011-08-01
- 刊出日期: 2011-04-30

UUV Bow Profile Optimization Design Based on Adaptive Simulated Annealing Algorithm

College of Marine Engineering, Northwestern Polytechnical University, Xi′an 710072, China

摘要

摘要: 基于多目标空间的全局搜索理论, 将无人水下航行器(UUV)艏部丰满度, 流体动力与流噪声作为集成判定指标的综合一体化UUV艏部线型优化设计方法。建立了针对UUV艏部外形设计的一体化设计优化模型, 结合经典粘流理论、CFD算法实现了集成优化设计, 针对UUV外形优化设计要求, 提出了复杂外形参数化和设计变量的选取原则, 并对具体算例进行外形综合仿真优化设计。结果表明, 基于自适应模拟退火法能够有效实现对UUV期望目标的一体化优化设计, 在相互制约的多种目标函数所组成的目标域中获得最优解, 优化后UUV艏部流体动力和声学性能都有较大提高。
- 无人水下航行器(UUV) /
- 多目标优化 /
- 模拟退火法 /
- 艏部线型 /
- 集成优化设计
Abstract: Based on the theory of global searching in the multi-objective domain, this paper presents a method of optimizing an unmanned underwater vehicle (UUV) bow profile by adopting the simulated annealing algorithm. This method takes UUV bow fullness, hydrodynamics and flow noise as the goal function. An integrated UUV bow shape optimal design model is established by utilizing the classical viscous flow theory and the computational fluid dynamics (CFD) algorithm. The principle of choosing the complex shape parameters and design variables is described according to the optimization of UUV shape. The optimization design of an UUV bow profile is simulated, and the result shows that with the present method, we can effectively achieve the desired goals of UUV optimization design, and get the optimal solution from the domain composed of various objective functions which are restricted each other. The method greatly improves the acoustic performance and the hydrodynamic characteristic of UUV bow.
- unmanned underwater vehicle (UUV) /
- multi-objective optimization /
- simulated annealing algorithm /
- bow profile /
- integrated optimization design

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