基于Pareto最优的翼身融合水下滑翔机结构优化设计  

Structure Optimization Design for Underwater Glider with Blended-Wing-Body Based on Pareto Optimal Solution

作　　者：何衍儒 宋保维[1] 曹永辉[1] HE Yan-ru;SONG Bao-wei;CAO Yong-hui(School of Marine Science and Technology, Northwestern Polytechnical University, Xi.an 710072, China)

机构地区：[1]西北工业大学航海学院,陕西西安710072

出　　处：《水下无人系统学报》2017年第4期243-249,共7页Journal of Unmanned Undersea Systems

基　　金：国家自然科学基金资助项目(51375389)

摘　　要：为进一步优化翼身融合水下滑翔机结构,使用基于Kriging代理模型的非支配排序多目标遗传算法(NSGA-II)对翼身融合水下滑翔机机身结构进行了质量和变形的多目标优化设计。最大等效应力和屈曲系数被设定为约束条件。首先使用UG二次开发程序实现翼身融合水下滑翔机结构的参数化建模,然后通过ANSYS软件进行分析,得到水下滑翔机的结构性能,最后通过数次迭代得到该多目标优化问题的Pareto最优解集,使用逼近于理想值的排序法(TOPSIS)获得Pareto前沿上的权衡最优设计点。该优化流程对翼身融合水下滑翔机机身结构优化设计具有一定工程参考价值。Multi-objective optimization of underwater glider with blended-wing-body(BWB)is carried out in terms of the mass and deformation of structure by employing the non-dominated sorting genetic algorithm(NSGA-II).The Maximum equivalent stress and bulking factor are taken as the constraint conditions.Parametric modeling of the BWB underwater glider structure is implemented using UG secondary development and finite element analysis is performed to obtain the structural performance of the underwater glider via the commercial computational structural mechanics software ANSYS.Finally,the Pareto optimal solution set of this multi-objective optimization problem is obtained by several iterations,and the technique for ordering preferences by similarity to ideal solution(TOPSIS)is used to obtain some trade-off optimum design points from Pareto fronts.This optimization process may provide a reference for structure optimization design of BWB underwater glider.

关 键 词：水下滑翔机 翼身融合 多目标优化 

分 类 号：TJ630.3[兵器科学与技术—武器系统与运用工程] N945.15[自然科学总论—系统科学]