Autonomous dynamic displacement estimation from data fusion of acceleration and intermittent displacement measurements

被引：88

作者：

Kim, Junhee ^{[1
]}

Kim, Kiyoung ^{[2
]}

Sohn, Hoon ^{[2
]}

机构：

[1] Dankook Univ, Dept Architectural Engn, Yongin 448701, Gyunggi Do, South Korea

[2] Korea Adv Inst Sci & Technol, Dept Civil & Environm Engn, Taejon 305701, South Korea

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2014年 / 42卷 / 1-2期

基金：

新加坡国家研究基金会;

关键词：

Structural measurement; Displacement estimation; Acceleration integration; Sensor data fusion; Multi-rate Kalman filtering; BRIDGE DISPLACEMENT;

D O I：

10.1016/j.ymssp.2013.09.014

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Addressing the importance of displacement measurement of structural responses in the field of structural health monitoring, this paper presents an autonomous algorithm for dynamic displacement estimation from acceleration integration fused with displacement data intermittently measured. The presented acceleration integration algorithm of multi-rate Kalman filtering distinguishes itself from the past study in the literature by explicitly considering acceleration measurement bias. Furthermore, the algorithm is formulated by unique state definition of integration errors and error dynamics system modeling. To showcase performance of the algorithm, a series of laboratory dynamic experiments for measuring structural responses of acceleration and displacement are conducted. Improved results are demonstrated through comparison between the proposed and past study. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：194 / 205

页数：12

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