Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization

This paper presents a parametric modeling of a magneto-rheological (MR) damper using a Particle Swarm Optimization (PSO) method. The objective of this paper is to optimize the parameter values of the MR fluid damper behavior using the Bouc-Wen model. The parametric identification was imposed before...

Full description

Bibliographic Details
Main Authors:	Mohd Azraai, M. Razman, Priyandoko, Gigih, A. R., Yusoff, M. F. F., Ab Rashid
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/9878/ http://umpir.ump.edu.my/id/eprint/9878/ http://umpir.ump.edu.my/id/eprint/9878/ http://umpir.ump.edu.my/id/eprint/9878/1/Parametric%20Optimization%20Of%20Magneto-Rheological%20Fluid%20Damper%20Using%20Particle%20Swarm%20Optimization.pdf

id	ump-9878
recordtype	eprints
spelling	ump-98782018-04-19T02:46:14Z http://umpir.ump.edu.my/id/eprint/9878/ Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization Mohd Azraai, M. Razman Priyandoko, Gigih A. R., Yusoff M. F. F., Ab Rashid TJ Mechanical engineering and machinery This paper presents a parametric modeling of a magneto-rheological (MR) damper using a Particle Swarm Optimization (PSO) method. The objective of this paper is to optimize the parameter values of the MR fluid damper behavior using the Bouc-Wen model. The parametric identification was imposed beforehand in replicating the behavior of the MR fluid damper. The algebraic function from a number of hysteresis models was steered by comparing selected models: Bingham, Bouc-Wen and BoucWen by Kwok. A simulation method was operated in investigating these models by employing MATLAB reliant from the model intricacy. The experimental data was presented in terms of the time histories of the displacement, the velocity and the force parameters, measured for both constant and variable current settings and at a selected frequency applied to the damper. The model parameters were determined using a set of experimental measurements corresponding to different current constant values. It has been shown that the MR damper model’s response via the proposed approach is in good agreement with the MR damper test rig counterpart Universiti Malaysia Pahang 2015 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/9878/1/Parametric%20Optimization%20Of%20Magneto-Rheological%20Fluid%20Damper%20Using%20Particle%20Swarm%20Optimization.pdf Mohd Azraai, M. Razman and Priyandoko, Gigih and A. R., Yusoff and M. F. F., Ab Rashid (2015) Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization. International Journal of Automotive and Mechanical Engineering (IJAME), 11. pp. 2591-2599. ISSN 1985-9325(Print); 2180-1606 (Online) http://ijame.ump.edu.my/images/Volume_11%20June%202015/37_Azraai%20%20et%20al.pdf DOI: 10.15282/ijame.11.2015.37.0218
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Mohd Azraai, M. Razman Priyandoko, Gigih A. R., Yusoff M. F. F., Ab Rashid Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
description	This paper presents a parametric modeling of a magneto-rheological (MR) damper using a Particle Swarm Optimization (PSO) method. The objective of this paper is to optimize the parameter values of the MR fluid damper behavior using the Bouc-Wen model. The parametric identification was imposed beforehand in replicating the behavior of the MR fluid damper. The algebraic function from a number of hysteresis models was steered by comparing selected models: Bingham, Bouc-Wen and BoucWen by Kwok. A simulation method was operated in investigating these models by employing MATLAB reliant from the model intricacy. The experimental data was presented in terms of the time histories of the displacement, the velocity and the force parameters, measured for both constant and variable current settings and at a selected frequency applied to the damper. The model parameters were determined using a set of experimental measurements corresponding to different current constant values. It has been shown that the MR damper model’s response via the proposed approach is in good agreement with the MR damper test rig counterpart
format	Article
author	Mohd Azraai, M. Razman Priyandoko, Gigih A. R., Yusoff M. F. F., Ab Rashid
author_facet	Mohd Azraai, M. Razman Priyandoko, Gigih A. R., Yusoff M. F. F., Ab Rashid
author_sort	Mohd Azraai, M. Razman
title	Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_short	Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_full	Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_fullStr	Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_full_unstemmed	Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_sort	parametric optimization of magneto-rheological fluid damper using particle swarm optimization
publisher	Universiti Malaysia Pahang
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/9878/ http://umpir.ump.edu.my/id/eprint/9878/ http://umpir.ump.edu.my/id/eprint/9878/ http://umpir.ump.edu.my/id/eprint/9878/1/Parametric%20Optimization%20Of%20Magneto-Rheological%20Fluid%20Damper%20Using%20Particle%20Swarm%20Optimization.pdf
first_indexed	2023-09-18T22:08:54Z
last_indexed	2023-09-18T22:08:54Z
_version_	1777414894638858240

Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization

Similar Items