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Bouc-Wen Model Parameter Identification for a MR Fluid Damper Using Particle Swarm Optimization

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)

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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
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