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Statements

Subject Item
n2:RIV%2F68407700%3A21220%2F14%3A00227370%21RIV15-MSM-21220___
rdf:type
n16:Vysledek skos:Concept
dcterms:description
*Particle swarm optimization (PSO) technique has achieved a considerable success in solving nonlinear, non-differentiable, multimodal optimization problems. Currently, PSO is broadly applied in several scientific and engineering optimization applications. This paper introduces an identification of magnetorheological (MR) damper’s parameters using the nonlinear PSO algorithm to introduce a more simple and accurate model. The proposed model predicts the MR damper force as a nonlinear function of the damper velocity, acceleration and command voltage to the damper coil, without using any complex differential equations, which will be very beneficial for complicated systems. PSO algorithm aims to minimize the root-mean-square-error of the damping force between the proposed model and the modified Bouc-Wen model which can estimate the dynamic behavior of the MR damper precisely. The validation of the proposed model is achieved by comparing its behavior against the behavior of the modified Bouc-Wen model. The validation results clearly reflect that the use of the proposed model can dependably predict the dynamic response of the MR damper as a nonlinear function of damper velocity, acceleration and command voltage. *Particle swarm optimization (PSO) technique has achieved a considerable success in solving nonlinear, non-differentiable, multimodal optimization problems. Currently, PSO is broadly applied in several scientific and engineering optimization applications. This paper introduces an identification of magnetorheological (MR) damper’s parameters using the nonlinear PSO algorithm to introduce a more simple and accurate model. The proposed model predicts the MR damper force as a nonlinear function of the damper velocity, acceleration and command voltage to the damper coil, without using any complex differential equations, which will be very beneficial for complicated systems. PSO algorithm aims to minimize the root-mean-square-error of the damping force between the proposed model and the modified Bouc-Wen model which can estimate the dynamic behavior of the MR damper precisely. The validation of the proposed model is achieved by comparing its behavior against the behavior of the modified Bouc-Wen model. The validation results clearly reflect that the use of the proposed model can dependably predict the dynamic response of the MR damper as a nonlinear function of damper velocity, acceleration and command voltage.
dcterms:title
*Parameter identification of Magnetorheological damper using particle swarm optimization *Parameter identification of Magnetorheological damper using particle swarm optimization
skos:prefLabel
*Parameter identification of Magnetorheological damper using particle swarm optimization *Parameter identification of Magnetorheological damper using particle swarm optimization
skos:notation
RIV/68407700:21220/14:00227370!RIV15-MSM-21220___
n3:aktivita
n5:P
n3:aktivity
P(LO1311)
n3:dodaniDat
n10:2015
n3:domaciTvurceVysledku
n19:3361195 El Sawaf, Ahmed n19:4484061 Metered, Hassan Ahmed Mohamed
n3:druhVysledku
n9:D
n3:duvernostUdaju
n17:C
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
35722
n3:idVysledku
RIV/68407700:21220/14:00227370
n3:jazykVysledku
n8:eng
n3:klicovaSlova
MR damper; modified Bouc-Wen model; PSO; parameter identification
n3:klicoveSlovo
n4:PSO n4:modified%20Bouc-Wen%20model n4:parameter%20identification n4:MR%20damper
n3:kontrolniKodProRIV
[D04C93E16AD2]
n3:mistoKonaniAkce
Birmingham
n3:mistoVydani
3905 State Street, Suite 7-31, Santa Barbara
n3:nazevZdroje
CMS 2014 - Proceedings of the Second International Conference on Advances In Civil, Structural and Mechanical Engineering
n3:obor
n21:JT
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n13:LO1311
n3:rokUplatneniVysledku
n10:2014
n3:tvurceVysledku
Metered, Hassan Ahmed Mohamed Vampola, Tomáš Šika, Zbyněk El Sawaf, Ahmed
n3:typAkce
n22:WRD
n3:zahajeniAkce
2014-11-16+01:00
s:numberOfPages
6
n12:doi
10.15224/978-1-63248-054-5-60
n15:hasPublisher
Institute of Research Engineers and Doctor
n20:isbn
978-1-63248-054-5
n18:organizacniJednotka
21220