Bouc-Wen Model Parameter Identification for a MR Fluid Damper Using Particle Swarm Optimization
This paper present parameter identification fitting which are employed into a current model. Irregularity hysteresis of Bouc-Wen model is colloquial with magneto-rheological (MR) fluid damper. The model parameters are identified with a Particle Swarm Optimization (PSO) which involves complex dynamic...
Saved in:
Main Authors: | Mohd Azraai, M. Razman, Priyandoko, Gigih, A. R., Yusoff |
---|---|
Format: | Article |
Language: | English |
Published: |
Trans Tech Publications, Switzerland
2014
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/5532/1/12.pdf http://umpir.ump.edu.my/id/eprint/5532/ http://dx.doi.org/10.4028/www.scientific.net/AMR.903.279 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bouc-Wen model parameter identification for a new magneto-rheologigal fluid damper using particle swarm optimization
by: Mohd Azraai, Mohd Razman
Published: (2014) -
Optimizing Hysteresis Parameters Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
by: Mohd Azraai, M. Razman, et al.
Published: (2014) -
Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm
by: Rosmazi, Rosli, et al.
Published: (2021) -
Bouc-Wen hysteresis parameter optimization for magnetorheological damper using Cuckoo search algorithm
by: Rosmazi, Rosli, et al.
Published: (2020) -
Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization
by: Mohd Azraai, M. Razman, et al.
Published: (2015)