Improved parameter estimation for MRF models for varying current

This paper introduces the improved parameter estimation of Magnetorheological fluid (MRF) damper models for varying input current. The models being studied for the estimation are Bingham model, Simple Bouc-Wen model, Modified Bouc-Wen model, Hyperbolic Tangent Function model, and Nonlinear Biviscous...

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Main Authors:	M. Razali, M. Khusyaie, Abdul Muthalif, Asan Gani, Nordin, N. H.Diyana, Abdul Hamid, Syamsul Bahrin
Format:	Article
Language:	English English
Published:	American Scientific Publishers 2017
Subjects:	TD Environmental technology. Sanitary engineering TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/62923/ http://irep.iium.edu.my/62923/ http://irep.iium.edu.my/62923/ http://irep.iium.edu.my/62923/1/62923_Improved%20parameter%20estimation%20for%20MRF_article.pdf http://irep.iium.edu.my/62923/2/62923_Improved%20parameter%20estimation%20for%20MRF_scopus.pdf

id	iium-62923
recordtype	eprints
spelling	iium-629232018-05-07T04:09:57Z http://irep.iium.edu.my/62923/ Improved parameter estimation for MRF models for varying current M. Razali, M. Khusyaie Abdul Muthalif, Asan Gani Nordin, N. H.Diyana Abdul Hamid, Syamsul Bahrin TD Environmental technology. Sanitary engineering TJ Mechanical engineering and machinery This paper introduces the improved parameter estimation of Magnetorheological fluid (MRF) damper models for varying input current. The models being studied for the estimation are Bingham model, Simple Bouc-Wen model, Modified Bouc-Wen model, Hyperbolic Tangent Function model, and Nonlinear Biviscous model. In estimating the parameters of the models, a comparison between the simulation and the experimental results are made. The mathematical equations of each parameter are established as a function of the input current through curve fitting method. In order to optimize the estimation, the mathematical equations are divided into two range. It is found out that the model with the least value of parameter estimation error is Modified Bouc-Wen. American Scientific Publishers 2017-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/62923/1/62923_Improved%20parameter%20estimation%20for%20MRF_article.pdf application/pdf en http://irep.iium.edu.my/62923/2/62923_Improved%20parameter%20estimation%20for%20MRF_scopus.pdf M. Razali, M. Khusyaie and Abdul Muthalif, Asan Gani and Nordin, N. H.Diyana and Abdul Hamid, Syamsul Bahrin (2017) Improved parameter estimation for MRF models for varying current. Advanced Science Letters, 23 (11). pp. 11002-11006. ISSN 1936-6612 E-ISSN 1936-7317 http://www.ingentaconnect.com/contentone/asp/asl/2017/00000023/00000011/art00124 10.1166/asl.2017.10207
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TD Environmental technology. Sanitary engineering TJ Mechanical engineering and machinery
spellingShingle	TD Environmental technology. Sanitary engineering TJ Mechanical engineering and machinery M. Razali, M. Khusyaie Abdul Muthalif, Asan Gani Nordin, N. H.Diyana Abdul Hamid, Syamsul Bahrin Improved parameter estimation for MRF models for varying current
description	This paper introduces the improved parameter estimation of Magnetorheological fluid (MRF) damper models for varying input current. The models being studied for the estimation are Bingham model, Simple Bouc-Wen model, Modified Bouc-Wen model, Hyperbolic Tangent Function model, and Nonlinear Biviscous model. In estimating the parameters of the models, a comparison between the simulation and the experimental results are made. The mathematical equations of each parameter are established as a function of the input current through curve fitting method. In order to optimize the estimation, the mathematical equations are divided into two range. It is found out that the model with the least value of parameter estimation error is Modified Bouc-Wen.
format	Article
author	M. Razali, M. Khusyaie Abdul Muthalif, Asan Gani Nordin, N. H.Diyana Abdul Hamid, Syamsul Bahrin
author_facet	M. Razali, M. Khusyaie Abdul Muthalif, Asan Gani Nordin, N. H.Diyana Abdul Hamid, Syamsul Bahrin
author_sort	M. Razali, M. Khusyaie
title	Improved parameter estimation for MRF models for varying current
title_short	Improved parameter estimation for MRF models for varying current
title_full	Improved parameter estimation for MRF models for varying current
title_fullStr	Improved parameter estimation for MRF models for varying current
title_full_unstemmed	Improved parameter estimation for MRF models for varying current
title_sort	improved parameter estimation for mrf models for varying current
publisher	American Scientific Publishers
publishDate	2017
url	http://irep.iium.edu.my/62923/ http://irep.iium.edu.my/62923/ http://irep.iium.edu.my/62923/ http://irep.iium.edu.my/62923/1/62923_Improved%20parameter%20estimation%20for%20MRF_article.pdf http://irep.iium.edu.my/62923/2/62923_Improved%20parameter%20estimation%20for%20MRF_scopus.pdf
first_indexed	2023-09-18T21:29:10Z
last_indexed	2023-09-18T21:29:10Z
_version_	1777412394734059520

Improved parameter estimation for MRF models for varying current

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