Research on multidisciplinary design optimization methods for cylindrical underwater vehicle

被引：0
作者：
State Key Laboratory of Autonomous Underwater Vehicle, Harbin Engineering University, Harbin 150001, China [1 ]
不详 [2 ]
机构：
[1] State Key Laboratory of Autonomous Underwater Vehicle, Harbin Engineering University
[2] Military Delegate Office of Navy, Hudong-Zhonghua Shipbuilding (Group) Co., Ltd
来源：
Su, Y.-M. | 1600年 / China Ship Scientific Research Center, P.O. Box 115, Wuxi, 214082, China卷 / 17期
关键词：
AAO; CO; MDO; Optimization algorithm; Underwater vehicle;
D O I：
10.3969/j.issn.1007-7294.2013.09.011
中图分类号：
学科分类号：
摘要：
Based on Isight software, a study of the multidisciplinary design optimization (MDO) techniques for cylindrical underwater vehicle was carried out. This cylindrical underwater vehicle was divided into four disciplines involving resistance, structure, energy, and propulsion, and detailed modeling and analysis of each subject were conducted. Then based on the Sequential Quadratic Programming, 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 optimization 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-disciplinary 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 summarized.
引用
收藏
页码：1076 / 1095
页数：19
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