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dc.creatorZorić, Nemanja
dc.creatorSimonović, Aleksandar
dc.creatorMitrović, Zoran
dc.creatorStupar, Slobodan
dc.date.accessioned2022-09-19T17:19:24Z
dc.date.available2022-09-19T17:19:24Z
dc.date.issued2013
dc.identifier.issn1429--2955
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/1819
dc.description.abstractThis paper presents the optimized fuzzy logic controller (FLC) with on-line tuning of scaling factors for vibration control of thin-walled composite beams. In order to improve the performances and robustness properties of FLC, the proposed method adjusts the input scaling factors via peak observer. The membership functions of the proposed FLC are optimized using the particle swarm optimization (PSO) algorithm. The composite beam is modeled by the third-order shear deformation theory (TSDT) and discretized by using the finite element method. Several numerical examples are provided for the cantilever composite beam under a periodic excitation and periodic excitation with an unexpected disturbance. In order to present the efficiency of the proposed controller, the obtained results are compared with the corresponding results in the cases of the optimized FLCs with constant scaling factors and LQR optimal control strategy.en
dc.publisherPolish Society of Theoretical and Allied Mechanics
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35035/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35006/RS//
dc.rightsrestrictedAccess
dc.sourceJournal of Theoretical and Applied Mechanics
dc.subjectsmart beamsen
dc.subjectoptimal vibration controlen
dc.subjectfuzzy logic controlen
dc.titleActive vibration control of smart composite beams using pso-optimized self-tuning fuzzy logic controlleren
dc.typearticle
dc.rights.licenseARR
dc.citation.epage286
dc.citation.issue2
dc.citation.other51(2): 275-286
dc.citation.spage275
dc.citation.volume51
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_1819
dc.identifier.scopus2-s2.0-84887034350
dc.identifier.wos000321683200003
dc.type.versionpublishedVersion


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