FDR飞行数据的相空间重构及混沌特性分析  

Phase Spatial Reconstruction and Chaotic Characteristic Analysis of FDR Flight Data

作　　者：张建业[1] 潘泉[2] 梁建海[2] 

机构地区：[1]空军工程大学科研部,陕西西安710051 [2]西北工业大学自动化学院,陕西西安710072

出　　处：《空军工程大学学报（自然科学版）》2009年第4期6-10,共5页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国防预研基金资助项目(9140A27020308JB3201)

摘　　要：针对现有飞行数据处理研究中,对数据内在属性及不同数据间相互关联性研究不够深入的问题,应用Takens重构理论和方法等对原始FDR飞行数据进行了相空间重构。在此基础上,采用功率图谱等方法进行定性分析研究,数据曲线均连续且有宽峰特征;采用基于相轨迹线演化的Wolf方法进行定量研究,结果最大Lyapunov指数在不同维数上均为正值。定性与定量研究结果揭示并证实了飞行数据具有典型混沌特性,该结论为后续开展飞行数据处理技术研究提供了新思路。Current flight data processing research about data＇s inner attributes and interrelations between different data are lacking in depth. In this paper, theory and method of Takens are used to reconstruct the phase space of primal FDR flight data. The qualitative analytic methods, such as power spectrum figure and etc. , are used to study the flight data. All the data curves are continuous and have wide peak characteristics. In the quantitative a- nalysis, Wolf method on the basis of phase trajectory evolution is applied to estimating the largest Lyapunov exponents in different dimensions, and the results show that all the exponents are positive. So the chaotic characteristic of the flight data is verified. This conclusion is of novel reference value for the following - on research of this kind.

关 键 词：FDR 飞行数据 相空间重构 LYAPUNOV指数 混沌 

分 类 号：V241.4[航空宇航科学与技术—飞行器设计] TP274[自动化与计算机技术—检测技术与自动化装置]