Robust active vibration isolation: a multivariable data-driven approach

R.J.R. van der Maas; T.A.E. Oomen

doi:10.3182/20140824-6-ZA-1003.00560

Robust active vibration isolation: a multivariable data-driven approach

R.J.R. van der Maas
, T.A.E. Oomen

Control Systems Technology

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

Abstract

Active vibration isolation is essential for a large range of high precision motion systems in industry. This paper aims to develop a framework for high performance robust vibration isolation by explicitly addressing multivariable flexible dynamical behavior. A framework is proposed that connects identification and control. In addition, a new data-driven uncertainty modeling procedure is used that results in a nonconservative model error bound. Application on an active vibration isolation system confirms high performance robust vibration isolation.

Original language	English
Title of host publication	Proceedings of the IFAC 19th Triennial World Congress, 24-29 August 2014, Cape Town, South Africa
Editors	E. Boje, X. Xia
Publisher	Elsevier
Pages	4754-4759
ISBN (Print)	978-3-902823-62-5
DOIs	https://doi.org/10.3182/20140824-6-ZA-1003.00560
Publication status	Published - 2014
Event	19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress) - Cape Town International Convention Centre, Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 Conference number: 19 http://www.ifac2014.org

Publication series

Name	IFAC Proceedings Volumes
Publisher	Elsevier
Number	3
Volume	47
ISSN (Electronic)	1474-6670

Conference

Conference	19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress)
Abbreviated title	IFAC 2014
Country/Territory	South Africa
City	Cape Town
Period	24/08/14 → 29/08/14
Internet address	http://www.ifac2014.org

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10.3182/20140824-6-ZA-1003.00560

Cite this

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title = "Robust active vibration isolation: a multivariable data-driven approach",

abstract = "Active vibration isolation is essential for a large range of high precision motion systems in industry. This paper aims to develop a framework for high performance robust vibration isolation by explicitly addressing multivariable flexible dynamical behavior. A framework is proposed that connects identification and control. In addition, a new data-driven uncertainty modeling procedure is used that results in a nonconservative model error bound. Application on an active vibration isolation system confirms high performance robust vibration isolation.",

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editor = "E. Boje and X. Xia",

booktitle = "Proceedings of the IFAC 19th Triennial World Congress, 24-29 August 2014, Cape Town, South Africa",

address = "Netherlands",

note = "19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress), IFAC 2014 ; Conference date: 24-08-2014 Through 29-08-2014",

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van der Maas, RJR & Oomen, TAE 2014, Robust active vibration isolation: a multivariable data-driven approach. in E Boje & X Xia (eds), Proceedings of the IFAC 19th Triennial World Congress, 24-29 August 2014, Cape Town, South Africa. IFAC Proceedings Volumes, no. 3, vol. 47, Elsevier, pp. 4754-4759, 19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress), Cape Town, South Africa, 24/08/14. https://doi.org/10.3182/20140824-6-ZA-1003.00560

Robust active vibration isolation: a multivariable data-driven approach. / van der Maas, R.J.R.; Oomen, T.A.E.
Proceedings of the IFAC 19th Triennial World Congress, 24-29 August 2014, Cape Town, South Africa. ed. / E. Boje; X. Xia. Elsevier, 2014. p. 4754-4759 (IFAC Proceedings Volumes; Vol. 47, No. 3).

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

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N2 - Active vibration isolation is essential for a large range of high precision motion systems in industry. This paper aims to develop a framework for high performance robust vibration isolation by explicitly addressing multivariable flexible dynamical behavior. A framework is proposed that connects identification and control. In addition, a new data-driven uncertainty modeling procedure is used that results in a nonconservative model error bound. Application on an active vibration isolation system confirms high performance robust vibration isolation.

AB - Active vibration isolation is essential for a large range of high precision motion systems in industry. This paper aims to develop a framework for high performance robust vibration isolation by explicitly addressing multivariable flexible dynamical behavior. A framework is proposed that connects identification and control. In addition, a new data-driven uncertainty modeling procedure is used that results in a nonconservative model error bound. Application on an active vibration isolation system confirms high performance robust vibration isolation.

U2 - 10.3182/20140824-6-ZA-1003.00560

DO - 10.3182/20140824-6-ZA-1003.00560

M3 - Conference contribution

SN - 978-3-902823-62-5

T3 - IFAC Proceedings Volumes

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BT - Proceedings of the IFAC 19th Triennial World Congress, 24-29 August 2014, Cape Town, South Africa

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PB - Elsevier

T2 - 19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress)

Y2 - 24 August 2014 through 29 August 2014

ER -

Robust active vibration isolation: a multivariable data-driven approach

Abstract

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Conference

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