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Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper

This paper presents a Non-Parametric Linearised Data Driven (NPLDD) approach to model the dynamic performance of Magnetorheological (MR) damper. The proposed model is developed based on experimental data and consists of a pair of subsystems, namely, positive and negative relative acceleration of the...

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Main Authors: K., Hudha, H., Jamaluddin, P. M., Samin, R. A., Rahman
Format: Article
Published: Inderscience Enterprises Limited 2005
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/7037/
http://www.inderscience.com
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spelling my.utm.70372017-10-22T07:22:03Z http://eprints.utm.my/id/eprint/7037/ Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper K., Hudha H., Jamaluddin P. M., Samin R. A., Rahman TJ Mechanical engineering and machinery This paper presents a Non-Parametric Linearised Data Driven (NPLDD) approach to model the dynamic performance of Magnetorheological (MR) damper. The proposed model is developed based on experimental data and consists of a pair of subsystems, namely, positive and negative relative acceleration of the damper. In each subsystem, the hard points of experimental data are mapped into look-up table for a set of applied voltage signals. The results of the study show that the proposed model is able to describe the behaviour of the damper adequately and the force tracking controller has the ability to track the desired force well. Inderscience Enterprises Limited 2005 Article PeerReviewed K., Hudha and H., Jamaluddin and P. M., Samin and R. A., Rahman (2005) Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper. International Journal of Vehicle Autonomous Systems , 3 (2, 3, 4). pp. 230-252. http://www.inderscience.com
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
K., Hudha
H., Jamaluddin
P. M., Samin
R. A., Rahman
Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
description This paper presents a Non-Parametric Linearised Data Driven (NPLDD) approach to model the dynamic performance of Magnetorheological (MR) damper. The proposed model is developed based on experimental data and consists of a pair of subsystems, namely, positive and negative relative acceleration of the damper. In each subsystem, the hard points of experimental data are mapped into look-up table for a set of applied voltage signals. The results of the study show that the proposed model is able to describe the behaviour of the damper adequately and the force tracking controller has the ability to track the desired force well.
format Article
author K., Hudha
H., Jamaluddin
P. M., Samin
R. A., Rahman
author_facet K., Hudha
H., Jamaluddin
P. M., Samin
R. A., Rahman
author_sort K., Hudha
title Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
title_short Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
title_full Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
title_fullStr Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
title_full_unstemmed Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
title_sort non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
publisher Inderscience Enterprises Limited
publishDate 2005
url http://eprints.utm.my/id/eprint/7037/
http://www.inderscience.com
_version_ 1643644691831324672
score 13.160551

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