空气动力学学报2016，Vol.34Issue(6)：778-782,5.DOI:10.7638/kqdlxxb-2015.0032
数据挖掘技术在飞行试验数据分析和气动参数辨识中的应用研究
Application research of data-mining method to flight test data analysis and aerodynamic parameter identification
摘要
Abstract
In order to effectively verify the reliability of identification result of flight data, data-mining method is successfully applied to flight test data analysis and aerodynamic parameter identification in this paper for the first time. Problems existing in clustering, assorting, regression because of insufficient number of flight test data and big differences of information among flight test have preliminarily been resolved.A new way of reliability test of identification result is presented according to aerodynamic characteristic distribution in some certain range of different time and different flights.Through dealing with and analyzing groups of flight data of a certain flying vehicle using this proposed data mining technique,aerodynamic model based on flight data is constructed,coherence of the identification results is checked,it’s reliability is evaluated,and the prediction error is given by comparing identification result with ground test data.The whole identification results of groups of flight data of a certain flying vehicle indicate that the method developed in this paper is feasible and effective.This research gives a new way to test reliability of identification result and construct aerodynamic model based on flight data,and it is also useful for verification and validation of CFD and wind tunnel test.关键词
数据挖掘/飞行试验/气动参数辨识/风洞试验/气动建模Key words
data-mining/flight test/aerodynamic parameter identification/wind tunnel test/aerodynamic modeling分类
航空航天引用本文复制引用
王文正,郑鹍鹏,陈功,何开锋..数据挖掘技术在飞行试验数据分析和气动参数辨识中的应用研究[J].空气动力学学报,2016,34(6):778-782,5.基金项目
国家自然科学基金(912162001) （912162001）
