Modal parameter identification of time-varying systems using the time-varying multivariate autoregressive model

被引:0
|
作者
Liu, Lilan [1 ]
Liu, Hongzhao [1 ]
Wu, Ziying [1 ]
Yuan, Daning [1 ]
Li, Pengfei [1 ]
机构
[1] Xian Univ Technol, Dept Mech Engn, Xian 710048, Peoples R China
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new time-varying multivariate autoregressive (TVMAR) model method for modal parameter identification of linear time-varying (TV) systems with multi-output is introduced. Besides, a modified recursive least square method based on the traditional one is presented to determine the coefficient matrices of the TVMAR model. In the proposed method, multidimensional nonstationary response signals of the vibrating system can be processed simultaneously. Not only the TV modal frequency and damping ratio of the system, but also the changing behavior of the mode shape in the course of vibration are identified by the proposed procedure. Numerical simulations, in which a three-degree-of-freedom system with TV stiffness is respectively subjected to impulse excitation and white noise excitation, are presented. The validity and accuracy of the method are demonstrated by the good simulation results.
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页码:1817 / 1822
页数:6
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