航空学报 > 2003, Vol. 24 Issue (1): 28-31

时间序列关联维数在非线性系统运动性态识别中的应用

赵玉成1, 张玉莲2, 张亚红1, 许庆余1   

  1. 1. 西安交通大学工程力学系, 陕西西安 710049;2. 浙江海洋学院机械系, 浙江舟山 316004
  • 收稿日期:2002-01-31 修回日期:2002-07-09 出版日期:2003-02-25 发布日期:2003-02-25

Characteristic Identification of Nonlinear Dynamics System with the Fractal Dimension of Time Series

ZHAO Yu-cheng1, ZHANG Yu-lian2, ZHANG Ya-hong1, XU Qing-yu1   

  1. 1. Department of Engineering Mechanics; Xi'an Jiaotong University; Xi'an 710049; China;2. Department of Mechanics; Zhejiang Ocean University; Zhoushan 316004; China
  • Received:2002-01-31 Revised:2002-07-09 Online:2003-02-25 Published:2003-02-25

摘要: 在非线性动力系统维数较高、数学模型难以建立时, 利用时间序列分维数对系统的动力学性质进行了研究。通过对一经典非线性方程的分析, 得出利用随参数变化的时间序列分维数图, 可以很好地识别非线性系统从确定性状态到分叉或浑沌状态的临界参数点或区域。最后将此方法应用于一单盘Jeffcott 转子模型的分叉参数点识别及一转子运动状态识别, 得到了比较满意的结果。

关键词: 分维数, 浑沌, 分叉, 临界参数, 转子系统

Abstract: The present wor k is trying to identify the pr operty of an unknown nonlinear system by nonlinear time series. For analysis, the typical nonlinear equation, Duffing equation, is studied. Using the figur es of fractal dimensionof time series and the par ameter of the nonlinear system, Poincare figures, phase figures, and fr equency spectrumfigures, the following conclusions may be obtained: according to the figures of fractal dimension tr ending, the cr itical paramet ers or regions of the nonlinear model from the stable state to bifurcation or chaotic state can be identifiedeffectively. Finally, the bifurcation cr itical parameters of Jeffcott rotor and run condition of the rotor system are identified by this met hod well.

Key words: fractal dimension, bifurcation, chaos, critical parameters, fluid film bearing rotor system

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