基于代理模型的飞翼多目标气动优化设计  

Multi-objective Aerodynamic Design Optimization of a Flying Wing using Surrogate Model

作　　者：刘俊[1] 宋文萍[1] 韩忠华[1] 

机构地区：[1]西北工业大学翼型叶栅空气动力学国家级重点实验室,陕西西安710072

出　　处：《航空计算技术》2015年第2期1-5,9,共6页Aeronautical Computing Technique

基　　金：国家自然科学基金项目资助(11272265)

摘　　要：针对飞翼布局飞行器,采用雷诺平均N-S方程(RANS)计算流场,使用基于代理模型的多目标优化方法进行了同时考虑起飞性能和巡航性能的多点多目标气动优化设计。在设计过程中,将飞翼的平面形状、剖面形状及扭转角同时作为设计变量(共58个设计变量),将提高起飞时的升力系数和提高巡航升阻比为设计目标,以起飞状态和巡航状态的力矩系数作为气动约束,并以飞翼平面面积不减和剖面厚度不减作为几何约束。通过采用基于Kriging模型的多目标优化方法,以较小的计算花费得到了较好的Perato前沿。取Pareto前沿中一个最优解与基准外形的性能进行了对比,结果显示,优化外形的性能较基准外形的气动性能得到全面大幅提高且所有约束得到严格满足。A multi- point and multi- objective aerodynamic design optimization which simultaneously considering the taking- offperformance and cruise performance of a flying wing is studied in this research. In the optimization procedure,the flow around the wing is simulated using the RANS solver; the planform shape,section shapes,and twist angle of section shapes are taken as design variables,which results in 58 design variables in total; maximizing the lift coefficient at taking- off condition and the lift- to- drag ratio at cruise condition are taken as the two objectives,while the moment coefficients at the two operating conditions are taken as constraints,and the planform area as well as the thickness of sections are also taken as constraints. Although there are a large number of design variables,a good Pareto optimal front is obtained with a small number of candidate design evaluationby the use of surrogate model and a sequential updating strategy. The performance of a shape arbitrarily selected from the Pareto front is checked and compared with the baseline,it shows that the optimized shape outperforms the baseline at the concerned conditions with all the constraints fulfilled.

关 键 词：飞翼 优化设计 多目标 KRIGING模型 PARETO前沿 N-S方程 

分 类 号：V211[航空宇航科学与技术—航空宇航推进理论与工程]