数据融合技术在空气动力学研究中的应用

Application of data fusion technique in aerodynamics studies

气动力数据通常通过风洞试验、数值计算和飞行试验三种途径获得,三者各有优缺点,为了得到更加完善准确的气动数据,可采用数据融合技术对不同来源的数据进行深加工和利用。针对数据融合技术在空气动力学中的应用进行讨论和探索,首先介绍了数据融合技术在空气动力学中的应用背景、发展现状及数据融合的基本思想,此后综合提出了建立气动数据融合准则的基本思路和两种具有应用价值的融合算法:基于不确定度的数据融合方法和基于气动力建模的数据融合方法,并给出了部分研究应用结果。最后,文章对气动数据融合技术在气动领域的应用前景进行了展望。研究发现,采用数据融合技术后,可以进一步提高气动数据的完整性和准确性,但由于气动数据融合工作不仅需要进行算法研究,同时还需要工作人员的大量经验,融合结果包含较多的人为因素,因此具体采用何种融合方法要根据具体情况而定。

Aerodynamic data usually can be obtained through three ways：wind tunnel test,numerical calculation and flight test,each method have both advantages and disadvantages.To achieve more complete and more accurate aerodynamic data,deep comparison and acquisition of data from different ways,together with data fusion technique could be used.In the first part of this paper,the background,development,pres-ent situation and basic idea of data fusion in aerodynamics research field was introduced.Secondly,the meth-od to establish data fusion rules was given,and two kinds of practical data fusion algorithms were presented, i.e.,the fusion algorithm based on uncertainty bounds analysis and the algorithm based on aerodynamic mathematical modeling.And some engineering applications of these two algorithms were also introduced.At the last part of this paper,the application prospect of aerodynamic data fusion was introduced.This investi-gation indicates that the integrity and the accuracy of the aerodynamic data could be improved by using data fusion methods.However the utilization of aerodynamic data fusion needs not only the mathematics of the fusion algorithm but also the researcher’s experience,there may exist some subjective factors in the fusion results,choice of fusion method depends on the practical problems.