Application of multidisciplinary design optimization methods in underwater unmanned vehicle

被引：0
|
作者：
Zhang L. [1 ,2 ]
Hu Z. [1 ,2 ]
机构：
[1] China Ship Scientific Research Center, Wuxi
[2] Taihu Laboratory of Deepsea Technological Science, Wuxi
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2024年 / 45卷 / 01期
关键词：
autonomous underwater vehicle; collaborative optimization algorithm; design constraint; design variable; disciplinary modeling; multidisciplinary design optimization; optimal calculation; overall design;
D O I：
10.11990/jheu.202112008
中图分类号：
学科分类号：
摘要：
To improve the reliability and robustness of the underwater unmanned vehicle, the multidisciplinary design optimization method is adopted to optimize the overall design of the vehicle. First, we conduct the discipline design of the underwater vehicle in the overall design stage, analyze the internal models and calculation methods of each discipline, and clarify the input, output, and coupling relationships for each discipline. We then perform parameter modeling within the discipline and establish the design variables of the overall design, system parameters, and constraints. By taking the lightest weight and strongest maneuverability of the aircraft as the optimization goals, we obtain the optimal solution for the design variables and the main output value of the optimal design. The optimized calculated value of the design variables effectively improves the ability of the design plan to meet the constraints. Moreover, the main output results of the optimized design provide a quantitative basis for selecting aircraft plans. © 2024 Editorial Board of Journal of Harbin Engineering. All rights reserved.
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页码：144 / 152
页数：8
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