无人潜水器主体多学科多目标设计优化

Multidisciplinary and multi-objective design optimization of main body of unmanned underwater vehicle

为提高无人潜水器的总体性能和设计效率,本文以一型无人潜水器的主体为研究对象,研究了主体结构的外形阻力、耐压壳体的分析方法,设计了参数化分析流程。针对结构分析和阻力分析软件进行了二次开发,实现了基于参数化的自动计算与分析,在此基础上选取主体结构外形阻力和耐压结构样本点进行了分析,进一步建立了基于近似模型的阻力和结构分析模型及无人潜水器主体多学科多目标优化设计模型。利用第二代非支配排序遗传算法进行了优化求解,选取了部分方案与初始方案进行了对比。结果表明:优化结果明显,为无人潜水器主体设计提供了依据。

To improve the overall performance and design efficiency of an unmanned underwater vehicle,this study considered one part of the vehicle’s main body as the research object in investigating the analysis method of form resistance and pressure hull,and designing the parametric analysis process.Development of structural and resistance analysis software was conducted.Automatic computation and analysis based on parameterization was performed,and on this basis,sample points of the shape resistance and pressure-resistant structure were analyzed.Furthermore,a resistance and structural analysis model was constructed based on an approximate model.A multidisciplinary and multi-objective optimization model was established to optimize the second-generation non-dominated sorting genetic algorithm,and some plans were selected for comparison with the initial plan.The optimization results were obvious,thereby providing the basis for the main body design of the unmanned underwater vehicle.