风洞试验方案智能优化设计方法研究

Research on intelligent optimal design method of wind tunnel test scheme

我国的航空航天装备发展已经进入了自主创新的崭新阶段,新一代飞行器气动设计的探索创新、优化定型需要高水平的风洞试验能力作为支撑。先进飞行器研制需要快速获取正确的气动外形关键数据,其高性能、高精度的发展趋势对风洞试验的数量和质量提出了更高要求。传统风洞试验方案设计和数据分析模式已经越来越不能满足需求,亟待有所突破。本文以飞行器地面试验分析为背景,应用支持向量机模型对试验数据进行建模分析,发展风洞试验方案优化设计方法和试验数据智能分析方法,探索气动数据与飞行器几何参数之间新的内在关联,构建风洞试验辅助设计和分析系统,提高风洞试验效率和试验数据的正确率,为先进飞行器气动设计提供技术支撑。

Advanced aircraft research requires rapid acquisition of correct-key data on the aerodynamic shape. The development of our country’s aerospace equipment has gradually entered a stage of independent innovation. The exploration, innovation, and optimization of the aerodynamic design for a new generation of aircraft need to be supported by matching wind tunnel test capabilities. The development trend of high-performance and high-precision advanced aircraft has put forward higher requirements on the “quantity” and “quality” of wind tunnel test data, which means the design of traditional wind tunnel test schemes and data analysis modes have become increasingly unsatisfactory. It is necessary to make breakthroughs in wind tunnel test design and test data analysis technology. Based on aircraft ground test analysis, this paper uses the support vector machine(SVM) to model and analyze the test data, develop wind tunnel test plan optimization, design methods and test data intelligent analysis methods, and explore the new internal correlation between the aerodynamic data and aircraft geometric parameters. Building a wind tunnel test auxiliary design and analysis system to improve the efficiency of wind tunnel test and the accuracy of test data provides technical support for the aerodynamic design of highperformance aircraft.