Prediction of an Electromechanical System Parameters using the Particle Swarm Optimization Algorithm

dc.authoridAksu, Inayet Ozge/0000-0002-0963-2982
dc.contributor.authorAksu, Inayet Ozge
dc.contributor.authorCoban, Ramazan
dc.date.accessioned2025-01-06T17:45:10Z
dc.date.available2025-01-06T17:45:10Z
dc.date.issued2016
dc.description20th Jubilee IEEE International Conference on Intelligent Engineering Systems (INES) -- JUN 30-JUL 02, 2016 -- Budapest, HUNGARY
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.
dc.description.sponsorshipIEEE,IEEE Ind Elect Soc,IEEE Hungary Sect,IEEE Joint Chapter IES & RAS,IEEE Computat Intelligence Chapter,IEEE SMC Chapter
dc.identifier.endpage88
dc.identifier.isbn978-1-5090-1216-9
dc.identifier.issn1562-5850
dc.identifier.startpage85
dc.identifier.urihttps://hdl.handle.net/20.500.14669/3341
dc.identifier.wosWOS:000389448700015
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofInes 2016 20th Jubilee Ieee International Conference on Intelligent Engineering Systems
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.titlePrediction of an Electromechanical System Parameters using the Particle Swarm Optimization Algorithm
dc.typeConference Object

Dosyalar