A hysteresis model and parameter identification for MR pin joints using immune particle swarm optimization

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

A hysteresis model and parameter identification for MR pin joints using immune particle swarm optimization

Royel, S

Yu, Y

Li, Y

Li, J

Ha, QP

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Automation Science and Engineering, 2015, 2015-October pp. 1319 - 1324
Issue Date:: 2015-10-07

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Field	Value	Language
dc.contributor.author	Royel, S https://orcid.org/0000-0001-6262-5282	en_US
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.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.date.available	2015-05-16	en_US
dc.date.issued	2015-10-07	en_US
dc.identifier.citation	IEEE International Conference on Automation Science and Engineering, 2015, 2015-October pp. 1319 - 1324	en_US
dc.identifier.isbn	9781467381833	en_US
dc.identifier.issn	2161-8070	en_US
dc.identifier.uri	http://hdl.handle.net/10453/36945
dc.description.abstract	© 2015 IEEE. A novel hybrid model is proposed in this paper to describe the highly-nonlinear hysteretic relationship between the torque and angular velocity in a magnetorheological pin joint (MRP). The MRP's hysteresis loop is modelled by a mixture of hyperbolic and Gaussian functions using the curve fitting technique, resulting in a significant reduction of the model parameters. To identify the model parameters, an immune particle swarm optimization (IPSO) algorithm is employed using torque-angular displacement/velocity experimental data recorded under various loading conditions. To demonstrate the accuracy of the proposed model and the effectiveness of parameter identification process, characterization test data of the smart pin torque and angular velocity are utilized for comparison.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0559405
dc.relation	http://purl.org/au-research/grants/arc/DP150102636
dc.relation.ispartof	IEEE International Conference on Automation Science and Engineering	en_US
dc.relation.isbasedon	10.1109/CoASE.2015.7294281	en_US
dc.title	A hysteresis model and parameter identification for MR pin joints using immune particle swarm optimization	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2015-October	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Gothenburg, Sweden
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.publication-status	Published	en_US
pubs.volume	2015-October	en_US

Abstract:

© 2015 IEEE. A novel hybrid model is proposed in this paper to describe the highly-nonlinear hysteretic relationship between the torque and angular velocity in a magnetorheological pin joint (MRP). The MRP's hysteresis loop is modelled by a mixture of hyperbolic and Gaussian functions using the curve fitting technique, resulting in a significant reduction of the model parameters. To identify the model parameters, an immune particle swarm optimization (IPSO) algorithm is employed using torque-angular displacement/velocity experimental data recorded under various loading conditions. To demonstrate the accuracy of the proposed model and the effectiveness of parameter identification process, characterization test data of the smart pin torque and angular velocity are utilized for comparison.

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http://hdl.handle.net/10453/36945