Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS

Michiel Beijen; Marcel Heertjes; Robbert Voorhoeve; Tom Oomen

doi:10.23919/ACC.2017.7963490

Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS

Michiel Beijen^*, Marcel Heertjes, Robbert Voorhoeve, Tom Oomen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

Abstract

Vibration isolation is essential for industrial high-precision systems in suppressing the influence of external disturbances. The aim of this paper is to develop an identification method to estimate the transmissibility matrix for such systems. The transmissibility matrix is a key performance indicator in vibration isolation, but its identification is severely limited by the heavy weight and size of many industrial systems. Two non-parametric system identification methods based on periodic and spectral analysis are compared. It is shown that spectral analysis can benefit from random floor excitations at low frequencies and periodic shaker excitations at high frequencies. Using this method, a transmissibility matrix between 1 and 100 Hz is successfully measured on an industrial active vibration isolation system (AVIS), demonstrating that the proposed method is suitable for identification of these heavy-weight systems.

Original language	English
Title of host publication	2017 American Control Conference, ACC 2017
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	3512-3517
Number of pages	6
ISBN (Electronic)	978-1-5090-5992-8, 978-1-5090-5994-2 (USB)
ISBN (Print)	978-1-5090-4583-9
DOIs	https://doi.org/10.23919/ACC.2017.7963490
Publication status	Published - 29 Jun 2017
Externally published	Yes
Event	2017 American Control Conference, ACC 2017 - Seattle, United States Duration: 24 May 2017 → 26 May 2017 http://acc2017.a2c2.org/

Publication series

Name	Proceedings of the American Control Conference (ACC)
Publisher	IEEE
Volume	2017
ISSN (Print)	0743-1619
ISSN (Electronic)	2378-5861

Conference

Conference	2017 American Control Conference, ACC 2017
Abbreviated title	ACC
Country/Territory	United States
City	Seattle
Period	24/05/17 → 26/05/17
Internet address	http://acc2017.a2c2.org/

Keywords

n/a OA procedure

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10.23919/ACC.2017.7963490

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Beijen, M., Heertjes, M., Voorhoeve, R., & Oomen, T. (2017). Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS. In 2017 American Control Conference, ACC 2017 (pp. 3512-3517). Article 7963490 (Proceedings of the American Control Conference (ACC); Vol. 2017). IEEE. https://doi.org/10.23919/ACC.2017.7963490

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title = "Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS",

abstract = "Vibration isolation is essential for industrial high-precision systems in suppressing the influence of external disturbances. The aim of this paper is to develop an identification method to estimate the transmissibility matrix for such systems. The transmissibility matrix is a key performance indicator in vibration isolation, but its identification is severely limited by the heavy weight and size of many industrial systems. Two non-parametric system identification methods based on periodic and spectral analysis are compared. It is shown that spectral analysis can benefit from random floor excitations at low frequencies and periodic shaker excitations at high frequencies. Using this method, a transmissibility matrix between 1 and 100 Hz is successfully measured on an industrial active vibration isolation system (AVIS), demonstrating that the proposed method is suitable for identification of these heavy-weight systems.",

keywords = "n/a OA procedure",

author = "Michiel Beijen and Marcel Heertjes and Robbert Voorhoeve and Tom Oomen",

note = "Publisher Copyright: {\textcopyright} 2017 American Automatic Control Council (AACC).; 2017 American Control Conference, ACC 2017, ACC ; Conference date: 24-05-2017 Through 26-05-2017",

year = "2017",

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doi = "10.23919/ACC.2017.7963490",

language = "English",

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series = "Proceedings of the American Control Conference (ACC)",

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Beijen, M, Heertjes, M, Voorhoeve, R & Oomen, T 2017, Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS. in 2017 American Control Conference, ACC 2017., 7963490, Proceedings of the American Control Conference (ACC), vol. 2017, IEEE, Piscataway, NJ, pp. 3512-3517, 2017 American Control Conference, ACC 2017, Seattle, Washington, United States, 24/05/17. https://doi.org/10.23919/ACC.2017.7963490

Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS. / Beijen, Michiel; Heertjes, Marcel; Voorhoeve, Robbert et al.
2017 American Control Conference, ACC 2017. Piscataway, NJ: IEEE, 2017. p. 3512-3517 7963490 (Proceedings of the American Control Conference (ACC); Vol. 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Evaluating performance of multivariable vibration isolators

T2 - 2017 American Control Conference, ACC 2017

AU - Beijen, Michiel

AU - Heertjes, Marcel

AU - Voorhoeve, Robbert

AU - Oomen, Tom

PY - 2017/6/29

Y1 - 2017/6/29

N2 - Vibration isolation is essential for industrial high-precision systems in suppressing the influence of external disturbances. The aim of this paper is to develop an identification method to estimate the transmissibility matrix for such systems. The transmissibility matrix is a key performance indicator in vibration isolation, but its identification is severely limited by the heavy weight and size of many industrial systems. Two non-parametric system identification methods based on periodic and spectral analysis are compared. It is shown that spectral analysis can benefit from random floor excitations at low frequencies and periodic shaker excitations at high frequencies. Using this method, a transmissibility matrix between 1 and 100 Hz is successfully measured on an industrial active vibration isolation system (AVIS), demonstrating that the proposed method is suitable for identification of these heavy-weight systems.

AB - Vibration isolation is essential for industrial high-precision systems in suppressing the influence of external disturbances. The aim of this paper is to develop an identification method to estimate the transmissibility matrix for such systems. The transmissibility matrix is a key performance indicator in vibration isolation, but its identification is severely limited by the heavy weight and size of many industrial systems. Two non-parametric system identification methods based on periodic and spectral analysis are compared. It is shown that spectral analysis can benefit from random floor excitations at low frequencies and periodic shaker excitations at high frequencies. Using this method, a transmissibility matrix between 1 and 100 Hz is successfully measured on an industrial active vibration isolation system (AVIS), demonstrating that the proposed method is suitable for identification of these heavy-weight systems.

KW - n/a OA procedure

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T3 - Proceedings of the American Control Conference (ACC)

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Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS

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