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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| Language: | en |
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2014
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| Online Access: | http://umpir.ump.edu.my/id/eprint/7718/1/fkm-2014-gigih-OptimizinG_hysteresis_parameters.pdf http://umpir.ump.edu.my/id/eprint/7718/ |
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| 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 |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.7718 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2014 |
| record_format | eprints |
| spelling | my.ump.umpir.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) (Unpublished) |
| 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 |
| title | 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_short | 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 |
| topic | TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/7718/1/fkm-2014-gigih-OptimizinG_hysteresis_parameters.pdf http://umpir.ump.edu.my/id/eprint/7718/ |
| url_provider | http://umpir.ump.edu.my/ |