舰船惯导航行数据的重构及混沌特性分析

针对现有舰船航行数据处理研究中,对数据内在属性及不同数据间相关性研究不够深入的问题,应用不同方法对舰船惯导航行数据进行了相空间重构及比较分析。分析结果表明,C-C方法对船舶惯导航行数据的重构效果较好。在此基础上,进行了惯导数据的混沌特性定性分析,并计算了惯导数据的最大Lyapunov指数,对舰船惯导数据进行了混沌动力学特性研究。分析结果证实了舰船航行数据具有较为典型的混沌特性,为进一步研究采用混沌控制等方法对舰船航行中的混沌状态进行控制提供必要的数据基础和比较依据。

Research on reconstruction and chaotic characteristic of ship's INS sailing data

Current ship sailing data processing research about data’s inner attributes and interrelations between different data are lacking in depth,different methods of phase space reconstruction are used to reconstruct the phase space of the primal INS sailing data,and the results show that the C-C method do well on processing ship’s sailing data reconstruction.On the base of phase space reconstruction,two qualitative analysis methods are used to study the chaos characteristic of the INS data,and small data set method is introduced to calculate the largest Lyapunov exponents.The results of the analysis authenticate the existence of chaotic characteristic in the ship’s sailing time series,this provide the following research on ship’s chaos control with essential basic data and comparison foundation.