Sigmoid function-based hysteresis modeling of magnetorheological pin joints

Yu, Y; Li, Y; Li, J

Sigmoid function-based hysteresis modeling of magnetorheological pin joints

Yu, Y

Li, Y

Li, J

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Publication Type:: Conference Proceeding
Citation:: 2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017, 2017, pp. 514 - 517
Issue Date:: 2017-06-07

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Field	Value	Language
dc.contributor.author	Yu, Y https://orcid.org/0000-0001-9592-8191	en_US
dc.contributor.author	Li, Y https://orcid.org/0000-0002-6720-8493	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.date.issued	2017-06-07	en_US
dc.identifier.citation	2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017, 2017, pp. 514 - 517	en_US
dc.identifier.isbn	9781509060870	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126421
dc.description.abstract	© 2017 IEEE. The magnetorheological (MR) pin joint is a semi-active control device which can be installed in the column-beam structures for structural vibration control. Nevertheless, the nonlinear response of the MR pin joint together with its unique rheological nature makes the device modeling difficult and impedes its engineering application. Although many complicated phenomenal models have been proposed to illustrate the dynamic behaviour of MR devices, a large number of model parameters and differential equations bring the challenges for model identification and controller design. In this study, we try to predict the dynamic response of a MR pin joint using a novel and simple phenomenal model, which is comprised of a rotary spring, a rotary damper and a sigmoid function-based hysteresis component. Then, the model parameters are identified using trust-region-reflective least squares algorithm in MATLAB optimization toolbox. Finally, the experimental results under various loading conditions are used to validate the performance of the proposed model.	en_US
dc.relation.ispartof	2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017	en_US
dc.relation.isbasedon	10.1109/ICCAR.2017.7942750	en_US
dc.title	Sigmoid function-based hysteresis modeling of magnetorheological pin joints	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic 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/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. The magnetorheological (MR) pin joint is a semi-active control device which can be installed in the column-beam structures for structural vibration control. Nevertheless, the nonlinear response of the MR pin joint together with its unique rheological nature makes the device modeling difficult and impedes its engineering application. Although many complicated phenomenal models have been proposed to illustrate the dynamic behaviour of MR devices, a large number of model parameters and differential equations bring the challenges for model identification and controller design. In this study, we try to predict the dynamic response of a MR pin joint using a novel and simple phenomenal model, which is comprised of a rotary spring, a rotary damper and a sigmoid function-based hysteresis component. Then, the model parameters are identified using trust-region-reflective least squares algorithm in MATLAB optimization toolbox. Finally, the experimental results under various loading conditions are used to validate the performance of the proposed model.

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http://hdl.handle.net/10453/126421