计算机应用 ›› 2011, Vol. 31 ›› Issue (11): 3157-3160.DOI: 10.3724/SP.J.1087.2011.03157

• 典型应用 • 上一篇    下一篇

船舶航行数据的相空间重构及混沌特性分析

黄谦1,2,李天伟2,杨绍清3,李正友2   

  1. 1. 海军91257部队,浙江 舟山 316001
    2. 海军大连舰艇学院 航海系,辽宁 大连 116018
    3. 海军大连舰艇学院 信息与通信工程系,辽宁 大连 116018
  • 收稿日期:2011-06-01 修回日期:2011-07-01 发布日期:2011-11-16 出版日期:2011-11-01
  • 通讯作者: 黄谦
  • 作者简介:黄谦(1980- ),男,福建福州人,博士研究生,主要研究方向:混沌时间序列分析、船舶航行中的混沌控制;李天伟(1963- ),男,辽宁大连人,教授,博士生导师,主要研究方向:航海装备信息处理、舰船航行控制;杨绍清(1964- ),男,辽宁大连人,教授,博士,主要研究方向:目标混沌特性识别、混沌控制;李正友(1979- ),男,辽宁大连人,博士研究生,主要研究方向:航海装备信息处理。
  • 基金资助:
    国家自然科学基金资助项目

Analysis on phase space reconstruction and chaotic dynamic characteristic of ship's sailing data

HUANG Qian1,2,LI Tian-wei1,YANG Shao-qing3,LI Zheng-you1   

  1. 1. Department of Navigation, Dalian Naval Academy, Dalian Liaoning 116018, China
    2. Unit 91257 of Chinese Navy, Zhoushan Zhejiang 316001, China
    3. Department of Information and Communication Engineering, Dalian Naval Academy, Dalian Liaoning 116018, China
  • Received:2011-06-01 Revised:2011-07-01 Online:2011-11-16 Published:2011-11-01
  • Contact: HUANG Qian

摘要: 相空间重构是识别船舶航行中混沌现象的重要环节,会直接影响混沌分析的结果,也直接影响船舶航行控制的效果。为找出合适的重构方法,采用不同方法对船舶航行数据进行了相空间重构,对重构效果进行了比较。重构结果证明:对船舶航行数据,C-C方法重构的效果较好,而自相关&G-P方法效果略差。在相空间重构基础上运用多种方法进行定性与定量分析,结果在所采集航行数据中发现了较为明显的混沌特性,为进行船舶航行中的混沌控制提供了必要的数据基础和比较依据。

关键词: 船舶航行, 相空间重构, 混沌特性, 最大Lyapunov指数

Abstract: Phase space reconstruction is an important part in recognizing chaos during ship's sailing, it directly influences the result of chaotic analyzing and the effect of chaos controlling. In order to choose a proper method, this paper reconstructed the ship's sailing data series by two methods, and compared the performances of reconstructions. It is proved that the C-C method does well on processing ship's sailing data series, while the autocorrelation &G-P method does a little bad. Different methods were used to conduct qualitative analysis and quantitative analysis based on the phase space reconstruction, the results of the analysis show the existence of chaotic characteristic in the ship's sailing data series, which provides the following research on ship's chaos control with essential basic data and comparison foundation.

Key words: ship sailing, phase space reconstruction, chaotic characteristic, largest Lyapunov exponent