Prediction of an electromechanical system parameters using the Particle Swarm Optimization algorithm

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dc.contributor.authorAksu, Inayet Ozge
dc.contributor.authorCoban, Ramazan
dc.date.accessioned2025-01-06T17:29:45Z
dc.date.available2025-01-06T17:29:45Z
dc.date.issued2016
dc.descriptionIEEE Computational Intelligence Chapter; IEEE Hungary Section; IEEE Industrial Electronics Society; IEEE Joint Chapter of IES and RAS; IEEE SMC Chapter
dc.description20th Jubilee IEEE International Conference on Intelligent Engineering Systems, INES 2016 -- 30 June 2016 through 2 July 2016 -- Budapest -- 123516
dc.description.abstractIn this study, the effect of the mechanical parts consisting of Tachometer/Gearbox, Digital Encoder, Input and Output Potentiometers, a brake disc, transmission belt, and some couplings which are directly connected to the shaft of a DC servo motor is investigated. The appropriate model of the DC servo motor can be achieved by modeling the effect of the mechanical parts correctly. The contribution of these mechanical parts is added to the mathematical model of the DC servo motor as new parameters. These parameters are estimated by using the Particle Swarm Optimization (PSO) algorithm since the convergence speed of the PSO is high. The result of the PSO algorithm is confirmed with experimental results. According to the experimental results, the obtained mathematical model including the effect of mechanical parts represents the real system more accurate. © 2016 IEEE.
dc.identifier.doi10.1109/INES.2016.7555098
dc.identifier.endpage88
dc.identifier.isbn978-150901216-9
dc.identifier.scopus2-s2.0-84987941238
dc.identifier.startpage85
dc.identifier.urihttps://doi.org/10.1109/INES.2016.7555098
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1329
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofINES 2016 - 20th Jubilee IEEE International Conference on Intelligent Engineering Systems, Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectBelt conveyors
dc.subjectDC motors
dc.subjectOptimization
dc.subjectParameter estimation
dc.subjectSpeed control
dc.subjectVoltage dividers
dc.subjectAppropriate models
dc.subjectConvergence speed
dc.subjectDigital encoder
dc.subjectElectromechanical systems
dc.subjectInput and outputs
dc.subjectMechanical parts
dc.subjectParticle swarm optimization algorithm
dc.subjectTransmission belt
dc.subjectParticle swarm optimization (PSO)
dc.titlePrediction of an electromechanical system parameters using the Particle Swarm Optimization algorithm
dc.typeConference Object

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