Приказ основних података о документу
Prilog razvoju inteligentnog upravljanja servo motora jednosmerne struje primenom veštačkih neuronskih mreža
Towards development of DC servo motor intelligent control by applying artificial neural networks
dc.creator | Miljković, Katarina | |
dc.creator | Petrović, Milica | |
dc.creator | Jovanović, Radiša | |
dc.date.accessioned | 2023-02-28T11:50:34Z | |
dc.date.available | 2023-02-28T11:50:34Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-86-6060-055-6 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/4742 | |
dc.description.abstract | U 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.abstract | In 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.iso | sr | sr |
dc.publisher | Univerzitet u Beogradu - Mašinski fakultet, Katedra za proizvodno mašinstvo, Beograd, Srbija | sr |
dc.relation | info:eu-repo/grantAgreement/ScienceFundRS/AI/6523109/RS// | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200105/RS// | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/share-your-work/public-domain/cc0/ | |
dc.source | 42. JUPITER Konferencija, 44. simpozijum „UPRAVLJANJE PROIZVODNJOM U INDUSTRIJI PRERADE METALA“, Zbornik radova | sr |
dc.subject | inteligentno upravljanje | sr |
dc.subject | servo motor jednosmerne struje | sr |
dc.subject | veštačke neuronske mreže | sr |
dc.subject | mašinsko učenje | sr |
dc.subject | matematičko modelovanje | sr |
dc.subject | intelligent control | sr |
dc.subject | DC servo motor | sr |
dc.subject | artificial neural networks | sr |
dc.subject | machine learning | sr |
dc.subject | mathematical modelling | sr |
dc.title | Prilog razvoju inteligentnog upravljanja servo motora jednosmerne struje primenom veštačkih neuronskih mreža | sr |
dc.title | Towards development of DC servo motor intelligent control by applying artificial neural networks | sr |
dc.type | conferenceObject | sr |
dc.rights.license | CC0 | sr |
dc.citation.epage | 4.35 | |
dc.citation.rank | M63 | |
dc.citation.spage | 4.24 | |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/11449/bitstream_11449.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_4742 | |
dc.type.version | publishedVersion | sr |