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dc.contributor"European Union (EU)" & "Horizon 2020"en
dc.contributor.authorKozubík, Michalcs
dc.contributor.authorVáclavek, Pavelcs
dc.date.accessioned2020-11-23T11:54:19Z
dc.date.available2020-11-23T11:54:19Z
dc.date.issued2020-10-18cs
dc.identifier.citationProceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society. 2020, p. 379-383.en
dc.identifier.isbn978-1-7281-5413-8cs
dc.identifier.other165697cs
dc.identifier.urihttp://hdl.handle.net/11012/195670
dc.description.abstractIn this article, novel approach in implementing finite control set predictive control is introduced. Algorithm is implemented using general-purpose computing on graphics processing unit. Predictions are computed using parallel threads on the GPU. Optimal switching state is then selected in dependence on the cost function given by angular speed error and constraints on the current. The algorithm is tested in the PIL simulation using Simulink and Jetson Nano. The ability of the algorithm to ensure the reference tracking and keeping the current within its limits are discussed.en
dc.formattextcs
dc.format.extent379-383cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofProceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Societycs
dc.relation.urihttps://ieeexplore.ieee.org/document/9254381cs
dc.rights(C) IEEEcs
dc.subjectfinite control set model predictive controlen
dc.subjectpermanent magnet synchronous motoren
dc.subjectgeneral-purpose computingen
dc.subjectgraphics processing uniten
dc.titleSpeed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPUen
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
sync.item.dbidVAV-165697en
sync.item.dbtypeVAVen
sync.item.insts2020.11.23 12:54:19en
sync.item.modts2020.11.23 12:14:11en
dc.identifier.doi10.1109/IECON43393.2020.9254381cs
dc.relation.projectIdinfo:eu-repo/grantAgreement/EC/H2020/826060/EU//AI4DIen
dc.rights.accessopenAccesscs
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionacceptedVersionen


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