IIUM Repository

Improved parameter estimation for MRF models for varying current

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

[img] PDF (Evidence from publishers' website for MYRA) - Published Version
Restricted to Repository staff only

Download (76kB) | Request a copy
[img] PDF (scopus) - Supplemental Material
Restricted to Repository staff only

Download (456kB) | Request a copy

Abstract

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.

Item Type: Article (Journal)
Additional Information: 3352/62923
Uncontrolled Keywords: Magnetorheological fluid damper; MRF model Parameter estimation; Varying current
Subjects: T Technology > TD Environmental technology. Sanitary engineering
T Technology > TJ Mechanical engineering and machinery
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Syamsul Bahrin Abdul Hamid
Date Deposited: 07 May 2018 12:09
Last Modified: 07 May 2018 12:09
URI: http://irep.iium.edu.my/id/eprint/62923

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year