Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

Structural Parameter Identification in Time Domain using Extended Kalman Filter Method with Weighted Global Iteration

Authors
Xiang-Jian Wang, Jie Cui
Corresponding Author
Xiang-Jian Wang
Available Online October 2015.
DOI
https://doi.org/10.2991/icmii-15.2015.50How to use a DOI?
Keywords
structural parameter identification; extended Kalman filter method; memory fading filter technique; weighted global iteration; white noise
Abstract

A structural parameter identification method is proposed to identify the stiffness parameters and damping coefficient and to estimate the unmeasured responses in time domain. The unique feature of this technique is that it requires only the displacement responses at all or most of dynamic degree-of- freedoms (DDOFs). This new method is a combination of the extended Kalman filter technique with weighted global iteration (EKF-WGI) technique, memory fading filter (MFF) technique and Runge-Kutta (R-K) method, and it is called as MFEKF-WGI by the authors. The parameter identification and the response estimation are carried out using the proposed method by a numerical example. Three noise contaminated cases of the displacement responses are considered. The robustness, efficiency and accuracy of the new technique are verified by the results. However, the proposed method requires more sample points and smaller time interval for the accuracy of estimation, and requires a complete response time histories for the estimation of unmeasured responses.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmii-15.2015.50How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiang-Jian Wang
AU  - Jie Cui
PY  - 2015/10
DA  - 2015/10
TI  - Structural Parameter Identification in Time Domain using Extended Kalman Filter Method with Weighted Global Iteration
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 267
EP  - 276
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.50
DO  - https://doi.org/10.2991/icmii-15.2015.50
ID  - Wang2015/10
ER  -