Application of Black-Box NIXO to Experimental Measurements

被引:1
|
作者
Kwarta, Michael [1 ]
Allen, Matthew S. [2 ]
机构
[1] Univ Wisconsin Madison, Dept Mech Engn, Madison, WI USA
[2] Brigham Young Univ, Dept Mech Engn, Provo, UT USA
关键词
Nonlinear system identification; Nonlinear parameter estimation; Black-box methods; Nonlinear normal modes; NIXO methods;
D O I
10.1007/978-3-031-04086-3_33
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Nonlinear identification methods seek to create a mathematical representation of a mechanical system, which can then be used to: (1) predict the structure's motion or (2) design, redesign or optimize the structure. In a prior work the Nonlinear Identification through eXtended Outputs (NIXO) algorithm was found to work well if the model form is known a priori. Moreover, the black-box NIXO-based algorithm was successful for the data generated numerically. However, when it comes to actual experimental measurements, the black-box identification procedure has proven more challenging. This work builds on the previous efforts seeking to create a black-box NIXO and to demonstrate it on experimental measurements. The identification attempt is performed on a 3D-printed flat beam, and the results are validated against experimental measurements collected during sweep sine vibration testing.
引用
收藏
页码:237 / 240
页数:4
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