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AUV总体概念设计中的多学科和多目标优化研究
引用本文:李学斌,甘霖.AUV总体概念设计中的多学科和多目标优化研究[J].海洋技术,2008,27(2):77-82.
作者姓名:李学斌  甘霖
作者单位:武汉第二船舶设计研究所,湖北武汉,430064
摘    要:针对水下自主式航行器(AUV)在总体概念设计阶段的多学科和多目标优化问题进行了研究。基于MDO的概念将AUV的设计要求分解为系统控制层和5个子系统,考虑了有效负载长度和总质量两个目标函数。采用多学科可行解方法(MDF)和多目标遗传算法(MOGA)给出了多学科的Pareto最优解,并且和经典的多目标方法进了比较。

关 键 词:水下自主式航行器(AUV)  多学科优化  多目标优化  概念设计

Study on Multi-disciplinary Design and Multi-objective Problem in Conceptual Design of AUV
LI Xue-bin,GAN Lin.Study on Multi-disciplinary Design and Multi-objective Problem in Conceptual Design of AUV[J].Ocean Technology,2008,27(2):77-82.
Authors:LI Xue-bin  GAN Lin
Abstract:The multi-disciplinary design optimization(MDO) and the multi-objective problem(MOP) in conceptual design for autonomous underwater vehicle(AUV) are studied in the paper.Based on the concept of MDO frame,the total system of AUV is divided into one control layer and five subsystems respectively,with payload section length and two objects functions of vehicle mass taken into acount.Multi-objective Genetic Algorithm(MOGA) is used to fine Pareto solutions.Comparisons between classical multi-objective methods and MOGA are evaluated.
Keywords:autonomous underwater vehicle(AUV)  multidisciplinary optimization  multi-objective optimization  conceptual design
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