EKF Based Parameter Identification Of LTI System From Seismic Response Measurements

被引：6

作者：

Mahato, Swarup ^{[1
]}

Chakraborty, Arunasis ^{[1
]}

机构：

[1] Indian Inst Technol Guwahati, Dept Civil Engn, Gauhati 781039, Assam, India

来源：

INTERNATIONAL CONFERENCE ON VIBRATION PROBLEMS 2015 | 2016年 / 144卷

关键词：

extended Kalman filter; parameter estimation; non-stationary excitation; system identification; state estimation; EXTENDED KALMAN FILTER; EXPLICIT;

D O I：

10.1016/j.proeng.2016.05.144

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Parameter identification of linear time invariant (LTI) dynamic system using extended Kalman filter (EKF) are presented in this work. The efficiency of the EKF is demonstrated using non-stationary responses. For this purpose, a three storied steel frame is used in the laboratory and the recorded ground motion is applied to measure the acceleration response at the top. Using these responses, the EKF based predictor-corrector algorithm is applied to identify the model parameters. It has been observed that EKF based identification scheme may converge to different system matrices (i.e. stiffness) for different experimental results of the same structure. However, their eigen values (i.e. natural frequency and mode shape) remain same. (C) 2016 The Authors. Published by Elsevier Ltd.

引用

页码：360 / 365

页数：6

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