Input load identification of nonlinear tower structural system using intelligent inverse estimation algorithm

被引：4
|
作者：
Lee, Ming-Hui [1 ]
Liu, Ying-Wei [2 ]
机构：
[1] Chinese Mil Acad, Dept Civil Engn, Kaohsiung, Taiwan
[2] Natl Pingtung Univ Sci & Technol, Dept Civil Engn, Pingtung, Taiwan
来源：
37TH NATIONAL CONFERENCE ON THEORETICAL AND APPLIED MECHANICS (37TH NCTAM 2013) & THE 1ST INTERNATIONAL CONFERENCE ON MECHANICS (1ST ICM) | 2014年 / 79卷
关键词：
inverse estimation; extended Kalman filter; least squares; FORCE VIBRATION PROBLEM;
D O I：
10.1016/j.proeng.2014.06.377
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
An extended inverse estimation algorithm was developed to effectively estimate the unknown input load in nonlinear structural systems. This algorithm combines the extended Kalman filter and intelligent recursive least squares estimator. This study investigated the unknown input load applied on a tower structural system. Nonlinear characteristics will exist in various structural systems. The nonlinear characteristics are particularly more obvious when applying a larger input load. Numerical simulation cases involving different input load types are studied in this paper. The simulation results verify the nonlinear characteristics of the structural system. This algorithm is effective in estimating unknown input loads. (C) 2014 Elsevier Ltd.
引用
收藏
页码：540 / 549
页数：10
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