Hysteresis Modeling of Smart Structure MR Devices Using Describing Functions

Ha, QP; Royel, S; Li, J; Li, Y

Hysteresis Modeling of Smart Structure MR Devices Using Describing Functions

Ha, QP

Royel, S

Li, J

Li, Y

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Publication Type:: Journal Article
Citation:: IEEE/ASME Transactions on Mechatronics, 2016, 21 (1), pp. 44 - 50
Issue Date:: 2016-02-01

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Field	Value	Language
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.contributor.author	Royel, S https://orcid.org/0000-0001-6262-5282	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.contributor.author	Li, Y https://orcid.org/0000-0002-6720-8493	en_US
dc.date.issued	2016-02-01	en_US
dc.identifier.citation	IEEE/ASME Transactions on Mechatronics, 2016, 21 (1), pp. 44 - 50	en_US
dc.identifier.issn	1083-4435	en_US
dc.identifier.uri	http://hdl.handle.net/10453/41137
dc.description.abstract	© 1996-2012 IEEE. Magnetorheological (MR) devices have been quite promising for semiactive control, thanks to their capability of adjusting structural parameters, under a low-power control signal, to effectively withstand severe dynamic loadings including seismic events. MR devices, using visco-elastic and ferromagnetic materials, are subject to hysteresis, which may degrade the performance of smart structures. Therefore, this multivalued nonlinearity needs to be properly modeled and characterized for control and health monitoring. As engineering structures operate as low-pass filter in normal conditions, it is suitable to use the classical describing function (DF) method for modeling and analysis of the hysteretic behaviors in MR device-based smart structures. Data obtained from characterizing tests are recorded in look-up tables to obtain the DFs for these devices, using a curve-fitting technique. The proposed DFs are then useful in structural frequency analysis. Experimental results are reported for a steel beam with MR pin joints subject to quake-induced vibrations provided by a shake table.	en_US
dc.relation.ispartof	IEEE/ASME Transactions on Mechatronics	en_US
dc.relation.isbasedon	10.1109/TMECH.2015.2506539	en_US
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	Hysteresis Modeling of Smart Structure MR Devices Using Describing Functions	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	21	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0910 Manufacturing Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	21	en_US

Abstract:

© 1996-2012 IEEE. Magnetorheological (MR) devices have been quite promising for semiactive control, thanks to their capability of adjusting structural parameters, under a low-power control signal, to effectively withstand severe dynamic loadings including seismic events. MR devices, using visco-elastic and ferromagnetic materials, are subject to hysteresis, which may degrade the performance of smart structures. Therefore, this multivalued nonlinearity needs to be properly modeled and characterized for control and health monitoring. As engineering structures operate as low-pass filter in normal conditions, it is suitable to use the classical describing function (DF) method for modeling and analysis of the hysteretic behaviors in MR device-based smart structures. Data obtained from characterizing tests are recorded in look-up tables to obtain the DFs for these devices, using a curve-fitting technique. The proposed DFs are then useful in structural frequency analysis. Experimental results are reported for a steel beam with MR pin joints subject to quake-induced vibrations provided by a shake table.

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http://hdl.handle.net/10453/41137