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Proceedings Paper

Multisensor fusion for system identification
Author(s): Sung-Han Sim; Soojin Cho; Jong-Woong Park; Hyunjun Kim
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Paper Abstract

System identification is a fundamental process for developing a numerical model of a physical structure. The system identification process typically involves in data acquisition; particularly in civil engineering applications accelerometers are preferred due to its cost-effectiveness, low noise, and installation convenience. Because the measured acceleration responses result in translational degrees of freedom (DOF) in the numerical model, moment-resisting structures such as beam and plate are not appropriately represented by the models. This study suggests a system identification process that considers both translational and rotational DOFs by using accelerometers and gyroscopes. The proposed approach suggests a systematic way of obtaining dynamic characteristics as well as flexibility matrix from two different measurements of acceleration and angular velocity. Numerical simulation and laboratory experiment are conducted to validate the efficacy of the proposed system identification process.

Paper Details

Date Published: 10 April 2014
PDF: 6 pages
Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 90611H (10 April 2014); doi: 10.1117/12.2047288
Show Author Affiliations
Sung-Han Sim, Ulsan National Institute of Science and Technology (Korea, Republic of)
Soojin Cho, Ulsan National Institute of Science and Technology (Korea, Republic of)
Jong-Woong Park, Univ. of Illinois at Urbana-Champaign (United States)
Hyunjun Kim, Ulsan National Institute of Science and Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 9061:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
Jerome P. Lynch; Kon-Well Wang; Hoon Sohn, Editor(s)

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