Decoupling analysis on nonlinear system based on the modified generalized frequency response functions

被引:7
|
作者
Xiao, Bin [1 ]
Gao, Chao [1 ]
Liu, Zhi-gang [2 ]
机构
[1] Northeast Dianli Univ, Sch Energy & Power Engn, Jilin 132012, Peoples R China
[2] Harbin Engn Univ, Coll Power & Energy Engn, Harbin 150001, Heilongjiang, Peoples R China
关键词
Nonlinear system decoupling; Source identification; GFRFs; Phase invariance; Nonlinear vibration system; BLIND SOURCE SEPARATION; VOLTERRA SERIES; PARAMETER-ESTIMATION; IDENTIFICATION; ORDER; ALGORITHMS; KERNELS;
D O I
10.1016/j.ymssp.2013.05.015
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents a nonlinear decoupling approach based on the Modified Generalized Frequency Response Functions (MGFRFs) and the nonlinear feature of phase invariance, for the pure nonlinearity-input nonlinear system. The MGFRFs are defined by combining the 'homotopy' GFRFs and phase information of the system input. The nonlinear feature of phase invariance is extracted based on MGFRFs. The decoupling approach is proposed based on MGFRFs and extended from the pure tone excitation to the multi-tone excitations by considering phase invariance. Numerical simulation and experimental investigation were carried out, whose results have shown that nonlinear feature of phase invariance is correct and reasonable and the proposed decoupling approach is valid and feasible. The proposed decoupling approach can be employed to identify the excitation sources and to estimate nonlinear system parameters for the pure nonlinearity-input nonlinear vibration system. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:283 / 299
页数:17
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