圆柱形水下航行器多学科优化设计方法研究(英文)  

Research on Multidisciplinary Design Optimization Methods for Cylindrical Underwater Vehicle

作　　者：苏玉民[1] 崔桐[1] 朱炜[2] 曹建 杨卓懿 

机构地区：[1]哈尔滨工程大学智能水下机器人技术国防科技重点实验室,哈尔滨150001 [2]海军驻上海沪东中华造船(集团)有限公司军事代表室,上海200129

出　　处：《船舶力学》2013年第9期1076-1095,共20页Journal of Ship Mechanics

基　　金：Weapon Equipments Advanced Research Foundation of China(9140C270305120C2701)

摘　　要：基于Isight软件,对圆柱形水下航行器开展了多学科设计优化技术的研究。首先将圆柱形水下航行器划分为阻力、结构、能源和推进四个学科,对每一个学科进行了详细的建模与分析,然后基于序列二次规划法,霍克-吉维斯直接搜索法以及多岛遗传算法三种优化算法对每个学科进行了单学科优化,在得到优化结果的同时,确定了最适合每个子系统的优化算法。接着确定了四个学科的耦合关系,完成了协同优化框架和同时分析与设计框架下多学科优化模型的构建。基于这两个多学科优化框架,分别在系统级优化器中采用上述三种优化算法,对圆柱形水下航行器进行了多学科设计优化,得到了满意的优化结果。最后总结出了一套适用于微小型水下航行器的多学科设计优化方案。Based on Isight software, a study of the multidisciplinary design optimization （MDO） tech-niques for cylindrical underwater vehicle was carried out. This cylindrical underwater vehicle was di-vided into four disciplines involving resistance, structure, energy, and propulsion, and detailed mod-eling and analysis of each subject were conducted. Then based on the Sequential Quadratic Pro-gramming, Hooke-Jeeves Direct Search Method as well as Multi-island Genetic Algorithm, a single disciplinary optimization was operated. When getting the optimization results, the most suitable opti-mization algorithm for each subsystem is determined. The coupling relations of the four disciplines were studied, and multidisciplinary design optimization models based on Collaborative Optimization （CO） and Simultaneous Analysis and Design （AAO） were built respectively. These two multi-disci-plinary optimization methods combined with above three optimization algorithms were applied to the multidisciplinary design optimization of cylindrical underwater vehicle, and satisfactory optimization results were obtained. Finally, a MDO scheme suitable for cylindrical underwater vehicle was sum-marized.

关 键 词：水下航行器 多学科设计优化 协同优化 同时分析与设计 优化算法 

分 类 号：U662.2[交通运输工程—船舶及航道工程] U674.76[交通运输工程—船舶与海洋工程]