Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Kroneisl, Michal | |
| dc.contributor.author | Šmídl, Václav | |
| dc.date.accessioned | 2021-03-08T11:00:21Z | - |
| dc.date.available | 2021-03-08T11:00:21Z | - |
| dc.date.issued | 2020 | |
| dc.identifier.citation | KRONEISL, 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.isbn | 978-1-72815-635-4 | |
| dc.identifier.issn | 2163-5145 | |
| dc.identifier.uri | 2-s2.0-85089470808 | |
| dc.identifier.uri | http://hdl.handle.net/11025/42816 | |
| dc.format | 6 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartofseries | Proceedings of the International Spring Seminar on Electronics Technology, ISSE 2020 | en |
| dc.rights | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. | cs |
| dc.rights | © IEEE | en |
| dc.title | Bayesian optimization FCS-MPC parameters for reduction of induction motor electromagnetic noise | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.rights.access | restrictedAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | Acoustic 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.translated | electric drives | en |
| dc.subject.translated | induction motors | en |
| dc.subject.translated | industrial electronics | en |
| dc.subject.translated | model predictive control | en |
| dc.subject.translated | predictive control systems | en |
| dc.subject.translated | tuning | en |
| dc.subject.translated | variable speed drives | en |
| dc.identifier.doi | 10.1109/ISIE45063.2020.9152217 | |
| dc.type.status | Peer-reviewed | en |
| dc.identifier.obd | 43930081 | |
| dc.project.ID | EF18_069/0009855/Elektrotechnické technologie s vysokým podílem vestavěné inteligence | cs |
| Vyskytuje se v kolekcích: | Konferenční příspěvky / Conference papers (RICE) Konferenční příspěvky / Conference Papers (KEV) OBD | |
Soubory připojené k záznamu:
| Soubor | Velikost | Formát | |
|---|---|---|---|
| Kroneisl_09152217.pdf | 2,81 MB | Adobe PDF | Zobrazit/otevřít Vyžádat kopii |
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