改进Kriging模型在翼型气动优化中的应用
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- 英文论文题名：Airfoil Aerodynamic Optimization Using Improved Kriging Model
- 论文作者：刘峰博 ; 李典 ; 郝海兵 ; 梁益华
- 英文论文作者：Liu Fengbo ; Li dian ; Hao Haibing ; Liang Yihua ; Aeronautics Computing Technique Research Institute Xi'an
- 年：2016
- 作者机构：中航工业西安航空计算技术研究所;
- 论文关键词：Kriging模型 ; 加点方法 ; 减阻优化
- 英文论文关键词：Kriging model ; adding the sample point ; drag optimization
- 会议召开时间：2016-10-31
- 会议录名称：探索 创新 交流（第7集）——第七届中国航空学会青年科技论坛文集（下册）
- 英文会议录名称：Discovery,Innovation and Communication——Proceedings of 7th CSAA Science and Technology Youth Forum
- 语种：中文
- 分类号：V224
- 学会代码：ZGHU
- 会议名称：探索 创新 交流（第7集）——第七届中国航空学会青年科技论坛
- 会议地点：中国广东中山
- 主办单位：中国航空学会
- 学会名称：中国航空学会
- 页数：7
- 文件大小：3014k
- 原文格式：O
- 会议级别：全国
摘要
本文基于Kriging模型,结合均匀抽样试验方法、加点准则和NSGAII遗传算法发展了一种优化设计方法。对建立的Kriging模型,通过计算目标函数最小值(MP准则)、EI函数最大值添加新的样本点更新代理模型提高代理模型拟合精度。利用建立的优化设计方法,对RAE2822翼型分别进行了单目标和基于Pareto方法的多目标的减阻优化设计。优化结果显示,在满足约束的同时,优化后翼型的阻力系数明显减小。表明本文建立的优化系统可实现有效的翼型气动优化设计。
This paper presents an optimization design method,which is based on Kriging model,design of experiment of unifonn sampling and a genetic optimization algorithm NSGAII.The accuracy of the Kriging model is improved by adding the sample point with minimizing the predicted objective function(MP) and maximum expected improvement(EI) from optimization of the initial samples.Finally,the airfoil RAE2822 is optimized to reduce drag in the condition of single-objective and multi-objective.The results show that the drag coefficient of the optimized RAE2822 airfoil is reduced significantly.It shows that the proposed method is able to efficiently improve the aerodynamic performance of the airfoil.
This paper presents an optimization design method,which is based on Kriging model,design of experiment of unifonn sampling and a genetic optimization algorithm NSGAII.The accuracy of the Kriging model is improved by adding the sample point with minimizing the predicted objective function(MP) and maximum expected improvement(EI) from optimization of the initial samples.Finally,the airfoil RAE2822 is optimized to reduce drag in the condition of single-objective and multi-objective.The results show that the drag coefficient of the optimized RAE2822 airfoil is reduced significantly.It shows that the proposed method is able to efficiently improve the aerodynamic performance of the airfoil.
引文
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[5]Sekishiro M,Venter G,Balabanov V.Combined Kriging and Gradient-based Optimization Method.AIAA,2006-7091,2006.
[2]Deb K,Pratap A,Agarwal S.et al.A Fast and Elitist Mulliob Jective Genetic Algorithm:NSGA-II[J],IEEE Transactions on Evolutionary Computation,2002,6:182-197.
[3]Forrester A I J,Keane A J.Recent Advance in SurrogateBased Optimization[J],Progress in Aerospace Science,2009,45:50-79.doi:10.1016/j.paerosci.2008.11.001.
[4]Shinkyu JM M,K Y.Efficient Optimization Design Method Using Kriging Model.AIAA,2004-118,2004.
[5]Sekishiro M,Venter G,Balabanov V.Combined Kriging and Gradient-based Optimization Method.AIAA,2006-7091,2006.