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Towards development of DC servo motor intelligent control by applying artificial neural networks

dc.creatorMiljković, Katarina
dc.creatorPetrović, Milica
dc.creatorJovanović, Radiša
dc.date.accessioned2023-02-28T11:50:34Z
dc.date.available2023-02-28T11:50:34Z
dc.date.issued2020
dc.identifier.isbn978-86-6060-055-6
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/4742
dc.description.abstractU radu je prikazan mogući pristup inteligentnog upravljanja servo motora jednosmerne struje korišćenjem veštačkih neuronskih mreža. Pored primene jedne od najzastupljenijih tehnika veštačke inteligencije, u radu je predloženo i dato matematičko modelovanje ovog široko zastupljenog objekta automatskog upravljanja. Takođe, u cilju prevazilaženja nedostataka vezanih za konvencionalno upravljanje servo motora jednosmerne struje, u radu su iskorišćene sposobnosti veštačkih neuronskih mreža da mogu da generalizuju i aproksimiraju izlaze ovog objekta primenom mašinskog učenja kroz proces njihovog obučavanja. Predloženi pristup, prvo je analiziran putem simulacije, a potom je i eksperimentalno verifikovan na primeru dva od četiri modela koji su razmatrani.sr
dc.description.abstractIn this paper the possible approach of DC servo motor intelligent control is presented by using artificial neural networks. Besides the application of one of the most important techniques of artificial intelligence, this paper suggests and gives the mathematical modelling of widely used object of automatic control. Also, this paper uses abilities of artificial neural networks in order to generalize and approximate the outputs of this object by applying machine learning through the process of its training, aiming to overcome the faults connected to the conventional control of the DC servo motor. The suggested approach, was analyzed firstly by simulation, and then it was experimentally verified in two out of four models which were taken into consideration.sr
dc.language.isosrsr
dc.publisherUniverzitet u Beogradu - Mašinski fakultet, Katedra za proizvodno mašinstvo, Beograd, Srbijasr
dc.relationinfo:eu-repo/grantAgreement/ScienceFundRS/AI/6523109/RS//sr
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200105/RS//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/share-your-work/public-domain/cc0/
dc.source42. JUPITER Konferencija, 44. simpozijum „UPRAVLJANJE PROIZVODNJOM U INDUSTRIJI PRERADE METALA“, Zbornik radovasr
dc.subjectinteligentno upravljanjesr
dc.subjectservo motor jednosmerne strujesr
dc.subjectveštačke neuronske mrežesr
dc.subjectmašinsko učenjesr
dc.subjectmatematičko modelovanjesr
dc.subjectintelligent controlsr
dc.subjectDC servo motorsr
dc.subjectartificial neural networkssr
dc.subjectmachine learningsr
dc.subjectmathematical modellingsr
dc.titlePrilog razvoju inteligentnog upravljanja servo motora jednosmerne struje primenom veštačkih neuronskih mrežasr
dc.titleTowards development of DC servo motor intelligent control by applying artificial neural networkssr
dc.typeconferenceObjectsr
dc.rights.licenseCC0sr
dc.citation.epage4.35
dc.citation.rankM63
dc.citation.spage4.24
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/11449/bitstream_11449.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_4742
dc.type.versionpublishedVersionsr


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