Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization

Magneto-rheological (MR) fluid has been used in various application as it seen to increase performance from a basic machine into high performance robust machine. A damper that is partnered with MR fluid can increase the operation of vibration suppression in a bigger range compared to a passive shock...

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Main Authors:	Mohd Azraai, M. Razman, Priyandoko, Gigih, A. R., Yusoff, M. F. F., Ab Rashid
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/7718/ http://umpir.ump.edu.my/id/eprint/7718/1/fkm-2014-gigih-OptimizinG_hysteresis_parameters.pdf

id	oai:umpir.ump.edu.my:7718
recordtype	eprints
spelling	oai:umpir.ump.edu.my:77182018-07-27T02:13:19Z http://umpir.ump.edu.my/id/eprint/7718/ Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization Mohd Azraai, M. Razman Priyandoko, Gigih A. R., Yusoff M. F. F., Ab Rashid TS Manufactures Magneto-rheological (MR) fluid has been used in various application as it seen to increase performance from a basic machine into high performance robust machine. A damper that is partnered with MR fluid can increase the operation of vibration suppression in a bigger range compared to a passive shock absorber. MR fluid damper has the property of engaging prediction not just forthcoming behaviour but retracting the preceding measurement. With suitable parameters projected to the hysteresis model, the trajectory for MR fluid damper model can be realize and attain required absorber performance. This study target on implementing Particle Swarm Optimization (PSO) to in searching the optimum parameters value of the hysteresis model for MR fluid damper. Validation by physical experiment and simulation was conducted to enhance the justification of the present model. These performances are measure in force against displacement and force against velocity for the hysteresis model to depict MR fluid damper behaviour. The average marginal error was presented to strengthen the model along with analysis and discussion in deliberating the outcome. 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7718/1/fkm-2014-gigih-OptimizinG_hysteresis_parameters.pdf Mohd Azraai, M. Razman and Priyandoko, Gigih and A. R., Yusoff and M. F. F., Ab Rashid (2014) Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization. In: Proceedings of the 1st International Conference on Automotive Innovation and Green Energy Vehicle (AiGEV 2014), 26-27 August 2014 , Swiss Garden Resort & Spa, Kuantan, Pahang. pp. 1-10.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Mohd Azraai, M. Razman Priyandoko, Gigih A. R., Yusoff M. F. F., Ab Rashid Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
description	Magneto-rheological (MR) fluid has been used in various application as it seen to increase performance from a basic machine into high performance robust machine. A damper that is partnered with MR fluid can increase the operation of vibration suppression in a bigger range compared to a passive shock absorber. MR fluid damper has the property of engaging prediction not just forthcoming behaviour but retracting the preceding measurement. With suitable parameters projected to the hysteresis model, the trajectory for MR fluid damper model can be realize and attain required absorber performance. This study target on implementing Particle Swarm Optimization (PSO) to in searching the optimum parameters value of the hysteresis model for MR fluid damper. Validation by physical experiment and simulation was conducted to enhance the justification of the present model. These performances are measure in force against displacement and force against velocity for the hysteresis model to depict MR fluid damper behaviour. The average marginal error was presented to strengthen the model along with analysis and discussion in deliberating the outcome.
format	Conference or Workshop Item
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	Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_short	Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_full	Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_fullStr	Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_full_unstemmed	Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
title_sort	optimizing hysteresis parameters of magneto-rheological fluid damper using particle swarm optimization
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/7718/ http://umpir.ump.edu.my/id/eprint/7718/1/fkm-2014-gigih-OptimizinG_hysteresis_parameters.pdf
first_indexed	2018-09-07T01:02:10Z
last_indexed	2018-09-07T01:02:10Z
_version_	1610908571086618624

Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization

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