Mohd Azraai, M. Razman and Priyandoko, Gigih and A. R., Yusoff (2014) Bouc-Wen Model Parameter Identification for a MR Fluid Damper Using Particle Swarm Optimization. Advanced Materials Research, 903. pp. 279-284. ISSN 1022-6680 (print), 1662-8985 (online). (Published)
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Abstract
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 representation. The PSO algorithm specifically determines the best fit value and decrease marginal error which compare to the experimental data from various operating conditions in a given boundary.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed in Scopus |
| Uncontrolled Keywords: | Bouc-Wen; Magneto-Rheological; Optimization; Parametric Identification |
| Subjects: | T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Manufacturing Engineering Faculty of Mechanical Engineering |
| Depositing User: | yaa |
| Date Deposited: | 30 May 2014 08:39 |
| Last Modified: | 19 Apr 2018 02:51 |
| URI: | http://umpir.ump.edu.my/id/eprint/5532 |
| Download Statistic: | View Download Statistics |
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