Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8339
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dc.contributor.authorSel, Artun-
dc.contributor.authorSel, Bilgehan-
dc.contributor.authorCoşkun, Ümit-
dc.contributor.authorKasnakoğlu, Coşku-
dc.date.accessioned2022-01-15T13:02:34Z-
dc.date.available2022-01-15T13:02:34Z-
dc.date.issued2021-
dc.identifier.issn1996-1073-
dc.identifier.urihttps://doi.org/10.3390/en14196108-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8339-
dc.description.abstractIn this study, two different parameter estimation algorithms are studied and compared. Iterated EKF and a nonlinear optimization algorithm based on on-line search methods are implemented to estimate parameters of a given permanent magnet synchronous motor whose dynamics are assumed to be known and nonlinear. In addition to parameters, initial conditions of the dynamical system are also considered to be unknown, and that comprises one of the differences of those two algorithms. The implementation of those algorithms for the problem and adaptations of the methods are detailed for some other variations of the problem that are reported in the literature. As for the computational aspect of the study, a convexity study is conducted to obtain the spherical neighborhood of the unknown terms around their correct values in the space. To obtain such a range is important to determine convexity properties of the optimization problem given in the estimation problem. In this study, an EKF-based parameter estimation algorithm and an optimization-based method are designed for a given nonlinear dynamical system. The design steps are detailed, and the efficacies and shortcomings of both algorithms are discussed regarding the numerical simulations.en_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofEnergiesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEKFen_US
dc.subjectnonlinear optimizationen_US
dc.subjectparameter estimationen_US
dc.subjectstate estimationen_US
dc.subjectsystem identificationen_US
dc.subjectFilteren_US
dc.titleComparative Study of an EKF-Based Parameter Estimation and a Nonlinear Optimization-Based Estimation on PMSM System Identificationen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.volume14en_US
dc.identifier.issue19en_US
dc.identifier.wosWOS:000709452100001en_US
dc.identifier.scopus2-s2.0-85115745904en_US
dc.institutionauthorKasnakoğlu, Coşku-
dc.identifier.doi10.3390/en14196108-
dc.authorscopusid57200286729-
dc.authorscopusid57223875488-
dc.authorscopusid57194762422-
dc.authorscopusid24802064500-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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