Examination of Modal Expansion and Kalman Filtering Techniques for Vibration Estimation

Mathias Wriedt Pedersen, Emil Kronborg Andersen, Martin Dalgaard Ulriksen, Lars Damkilde

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

State estimation is a well-established discipline within the field of modern control theory. In the context of vibration analysis, where application areas include damage prognosis and structural control with full state feedback, the topic has, however, emerged during the last couple of decades under the term virtual sensing. Here, the scope is to estimate physical quantities at both measured and unmeasured locations based on vibration signals captured in a limited set of sensors. This paper examines and compares three virtual sensing techniques, namely, modal expansion, direct Kalman filtering and a modified Kalman filter where the true value of the input is replaced by an optimal estimate. The performance of the three schemes is examined in an experimental setup with a cantilevered beam, which is subjected to different input types and installed with a limited set of accelerometers. Based on the experimental findings, some observations and particular recommendations on the use of the different schemes are provided.
Original languageEnglish
Title of host publication9th ECCOMAS Thematic Conference on Smart Structures and Materials
Publication statusAccepted/In press - 2019
Event9th ECCOMAS Thematic Conference on Smart Structures and Materials - Arts et Métiers - Ensam (Paris Campus), paris, France
Duration: 8 Jul 201911 Jul 2019
Conference number: 9
http://congress.cimne.com/smart2019/frontal/default.asp

Conference

Conference9th ECCOMAS Thematic Conference on Smart Structures and Materials
Number9
LocationArts et Métiers - Ensam (Paris Campus)
CountryFrance
Cityparis
Period08/07/201911/07/2019
Internet address

Cite this

Pedersen, M. W., Andersen, E. K., Ulriksen, M. D., & Damkilde, L. (Accepted/In press). Examination of Modal Expansion and Kalman Filtering Techniques for Vibration Estimation. In 9th ECCOMAS Thematic Conference on Smart Structures and Materials
Pedersen, Mathias Wriedt ; Andersen, Emil Kronborg ; Ulriksen, Martin Dalgaard ; Damkilde, Lars. / Examination of Modal Expansion and Kalman Filtering Techniques for Vibration Estimation. 9th ECCOMAS Thematic Conference on Smart Structures and Materials. 2019.
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Pedersen, MW, Andersen, EK, Ulriksen, MD & Damkilde, L 2019, Examination of Modal Expansion and Kalman Filtering Techniques for Vibration Estimation. in 9th ECCOMAS Thematic Conference on Smart Structures and Materials. 9th ECCOMAS Thematic Conference on Smart Structures and Materials, paris, France, 08/07/2019.

Examination of Modal Expansion and Kalman Filtering Techniques for Vibration Estimation. / Pedersen, Mathias Wriedt; Andersen, Emil Kronborg; Ulriksen, Martin Dalgaard; Damkilde, Lars.

9th ECCOMAS Thematic Conference on Smart Structures and Materials. 2019.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Examination of Modal Expansion and Kalman Filtering Techniques for Vibration Estimation

AU - Pedersen, Mathias Wriedt

AU - Andersen, Emil Kronborg

AU - Ulriksen, Martin Dalgaard

AU - Damkilde, Lars

PY - 2019

Y1 - 2019

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AB - State estimation is a well-established discipline within the field of modern control theory. In the context of vibration analysis, where application areas include damage prognosis and structural control with full state feedback, the topic has, however, emerged during the last couple of decades under the term virtual sensing. Here, the scope is to estimate physical quantities at both measured and unmeasured locations based on vibration signals captured in a limited set of sensors. This paper examines and compares three virtual sensing techniques, namely, modal expansion, direct Kalman filtering and a modified Kalman filter where the true value of the input is replaced by an optimal estimate. The performance of the three schemes is examined in an experimental setup with a cantilevered beam, which is subjected to different input types and installed with a limited set of accelerometers. Based on the experimental findings, some observations and particular recommendations on the use of the different schemes are provided.

M3 - Article in proceeding

BT - 9th ECCOMAS Thematic Conference on Smart Structures and Materials

ER -

Pedersen MW, Andersen EK, Ulriksen MD, Damkilde L. Examination of Modal Expansion and Kalman Filtering Techniques for Vibration Estimation. In 9th ECCOMAS Thematic Conference on Smart Structures and Materials. 2019