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dc.contributor.authorKroneisl, Michal
dc.contributor.authorŠmídl, Václav
dc.date.accessioned2021-03-08T11:00:24Z-
dc.date.available2021-03-08T11:00:24Z-
dc.date.issued2020
dc.identifier.citationKRONEISL, M. ŠMÍDL, V. Auto-commissioning of acoustic control of IM drive using bayesian optimization. In: 22th European Conference on Power Electronics and Applications (EPE’20 ECCE Europe) : /proceedings/. Piscataway: IEEE, 2020. s. „P.1"-„P.8". ISBN 978-90-75815-36-8.cs
dc.identifier.isbn978-90-75815-36-8
dc.identifier.uri2-s2.0-85094891098
dc.identifier.urihttp://hdl.handle.net/11025/42836
dc.format8 s.
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseries22th European Conference on Power Electronics and Applications (EPE’20 ECCE Europe) : /proceedings/en
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© IEEEen
dc.titleAuto-commissioning of acoustic control of IM drive using bayesian optimizationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedRecently proposed model predictive acoustic control of an AC drive relies on availability of the transfer function from the drive current to acoustic pressure. Since such model is typically not available, we propose to consider its parameters to be unknown and use methods of Bayesian optimization to find them. Specifically, we define a acoustic control performance criterion and optimize it in an additional outer loop. A microphone is necessary in this operation to provide feedback for tuning of the parameters used in model predictive drive control algorithm. However, the microphone is removed after the tuning. Since single evaluation of the performance criteria is time consuming, we choose the Bayesian Optimization that is able to find optimal tuning with very few evaluations.en
dc.subject.translatedinduction motoren
dc.subject.translatedacoustic noiseen
dc.subject.translatedpredictive controlen
dc.subject.translatedautotuningen
dc.identifier.doi10.23919/EPE20ECCEEurope43536.2020.9215871
dc.type.statusPeer-revieweden
dc.identifier.obd43931142
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)
OBD

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