Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

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dc.contributor.authorMynář, Zbyněkcs
dc.contributor.authorVáclavek, Pavelcs
dc.contributor.authorBlaha, Petrcs
dc.coverage.issue3cs
dc.coverage.volume68cs
dc.date.accessioned2021-05-05T14:54:43Z
dc.date.available2021-05-05T14:54:43Z
dc.date.issued2021-03-01cs
dc.description.abstractThe synchronous reluctance motor is becoming a very attractive alternative to the AC induction machine. This is due to the lack of rare-earth metals in their construction and a higher efficiency, which was brought about by recent progress in rotor design. However, in order to achieve an efficient and low-cost operation of the synchronous reluctance motor drive, an adaptive sensorless algorithm should be utilized to cope with machine non-linearities. This paper describes an adaptive observer, which can provide an estimation of rotor position and speed, as well as core loss and inductance parameters. A modified PWM switching scheme and a current derivative measurement method are proposed, together with an extended Kalman Filter design. Experimental results are shown to demonstrate method performance and feasibility.en
dc.formattextcs
dc.format.extent1972-1981cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIEEE Transactions on Industrial Electronics. 2021, vol. 68, issue 3, p. 1972-1981.en
dc.identifier.doi10.1109/TIE.2020.2973897cs
dc.identifier.issn0278-0046cs
dc.identifier.other161674cs
dc.identifier.urihttp://hdl.handle.net/11012/196694
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE Transactions on Industrial Electronicscs
dc.relation.urihttps://ieeexplore.ieee.org/document/9011744cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0278-0046/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectcurrent derivativeen
dc.subjectextended Kalman filteren
dc.subjectEKFen
dc.subjectonline adaptive observeren
dc.subjectPWM excitationen
dc.subjectsensorless controlen
dc.subjectsynchronous reluctance motoren
dc.subjectSynRMen
dc.titleSynchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurementen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-161674en
sync.item.dbtypeVAVen
sync.item.insts2021.05.05 16:54:43en
sync.item.modts2021.05.05 16:14:53en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Kybernetika pro materiálové vědycs
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