Neural network approach on loss minimization control of a PMSM with core resistance estimation

Basit Öğe Kaydı
dc.contributor.authorErdoǧan, Hüseyin
dc.contributor.authorÖzdemir, Mehmet
dc.date.accessioned2024-03-25T13:29:13Z
dc.date.available2024-03-25T13:29:13Z
dc.date.issued2017en_US
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractPermanent magnet synchronous motors (PMSMs) are often used in industry for high-performance applications. Their key features are high power density, linear torque control capability, high efficiency, and fast dynamic response. Today, PMSMs are prevalent especially for their use in hybrid electric vehicles. Since operating the motor at high efficiency values is critically important for electric vehicles, as for all other applications, minimum loss control appears to be an inevitable requirement in PMSMs. In this study, a neural network-based intelligent minimum loss control technique is applied to a PMSM. It is shown by means of the results obtained that the total machine losses can be controlled in a way that keeps them at a minimum level. It is worth noting here that this improvement is achieved compared to the case with I d set to zero, where no minimum loss control technique is used. Within this context, hysteresis and eddy current losses are primarily obtained under certain conditions by means of a PMSM Finite element model, initially developed by CEDRAT as an educational demo. A comprehensive loss model with a dynamic core resistor estimator is developed using this information. A neural network controller is then applied to this model and comparisons are made with analytical methods such as field weakening and maximum torque per ampere control techniques. Finally, the obtained results are discussed.en_US
dc.identifier.citationErdoğan, H. ve Özdemir, M. (2017). Neural network approach on loss minimization control of a PMSM with core resistance estimation. Turkish Journal of Electrical Engineering and Computer Sciences, 25(3), 1643-1656.en_US
dc.identifier.doi10.3906/elk-1505-101en_US
dc.identifier.endpage1656en_US
dc.identifier.issn1300-0632
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85020736502en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1643en_US
dc.identifier.trdizinid247600en_US
dc.identifier.urihttps://journals.tubitak.gov.tr/elektrik/vol25/iss3/4/
dc.identifier.urihttps://hdl.handle.net/11468/13715
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/247600
dc.identifier.volume25en_US
dc.identifier.wosWOS:000404385700004
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorErdoğan, Hüseyin
dc.language.isoenen_US
dc.publisherTurkiye Klinikleri Journal of Medical Sciencesen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectEnergy efficiencyen_US
dc.subjectLoss modelen_US
dc.subjectNeural networken_US
dc.subjectPermanent magnet synchronous motoren_US
dc.titleNeural network approach on loss minimization control of a PMSM with core resistance estimationen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Neural network approach on loss minimization control of a PMSM with core resistance estimation.pdf
Boyut:
2.64 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
TR-Dizin İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu