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dc.contributor.authorKroneisl, Michal
dc.contributor.authorŠmídl, Václav
dc.date.accessioned2021-03-08T11:00:21Z-
dc.date.available2021-03-08T11:00:21Z-
dc.date.issued2020
dc.identifier.citationKRONEISL, M. ŠMÍDL, V. Bayesian optimization FCS-MPC parameters for reduction of induction motor electromagnetic noise. In: 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) : /proceedings/. Piscataway: IEEE, 2020. s. 271-276. ISBN 978-1-72815-635-4, ISSN 2163-5145.cs
dc.identifier.isbn978-1-72815-635-4
dc.identifier.issn2163-5145
dc.identifier.uri2-s2.0-85089470808
dc.identifier.urihttp://hdl.handle.net/11025/42816
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesProceedings of the International Spring Seminar on Electronics Technology, ISSE 2020en
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© IEEEen
dc.titleBayesian optimization FCS-MPC parameters for reduction of induction motor electromagnetic noiseen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedAcoustic noise is an issue associated with operation of electric drives. Using an inverter in variable speed drives usually increases the acoustic noise. The problem has been recently addressed using finite control set model predictive control, where the acoustic model of the drive was obtained by identification. The controller is a compromise between current tracking and noise suppression, which is governed by tuning parameters. Finding proper tuning parameters is typically a laborious task. In this work, we propose to use Bayesian optimization to tune weights of the acoustic model in the full algorithm. The results are illustrated experimentally on induction motor of rated power of 11kW.en
dc.subject.translatedelectric drivesen
dc.subject.translatedinduction motorsen
dc.subject.translatedindustrial electronicsen
dc.subject.translatedmodel predictive controlen
dc.subject.translatedpredictive control systemsen
dc.subject.translatedtuningen
dc.subject.translatedvariable speed drivesen
dc.identifier.doi10.1109/ISIE45063.2020.9152217
dc.type.statusPeer-revieweden
dc.identifier.obd43930081
dc.project.IDEF18_069/0009855/Elektrotechnické technologie s vysokým podílem vestavěné inteligencecs
Appears in Collections:Konferenční příspěvky / Conference papers (RICE)
Konferenční příspěvky / Conference Papers (KEV)
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