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dc.contributor.authorVotava, Martin
dc.contributor.authorGlasberger, Tomáš
dc.contributor.authorPeroutka, Zdeněk
dc.date.accessioned2019-03-26T09:11:17Z-
dc.date.available2019-03-26T09:11:17Z-
dc.date.issued2018
dc.identifier.citationVOTAVA, M., GLASBERGER, T., PEROUTKA, Z. Predictive real time minimization of power losses with improved space vector preselection algorithm. In Proceedings of the 2018 18th International Conference on Mechatronics - Mechatronika (ME). Piscataway: IEEE, 2018. s. 251-256. ISBN 978-80-214-5542-9.en
dc.identifier.isbn978-80-214-5542-9
dc.identifier.urihttp://hdl.handle.net/11025/33717
dc.format6 s.
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesProceedings of the 2018 18th International Conference on Mechatronics - Mechatronika (ME)en
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© IEEEen
dc.titlePredictive real time minimization of power losses with improved space vector preselection algorithmen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe proposed control algorithm is focused on reducing and redistribution of power losses among the transistors and diodes in a dual (open winding load) converter. The proposed method combines a space vector PWM (SVPWM) with a finite control set model predictive control (MPC). The SVPWM is used for preselection of basic voltage vectors which are suitable to create a reference output voltage. It enables to identify available switching combinations of basic vectors which are closest to the reference. The MPC enables using a mathematical model of the converter including calculation of power losses and redistribution of them. Using a proposed cost function, it is possible to redistribute power losses to be closely equal among the converter semiconductor switches. The output voltage vector is then utilizing optimum switching combination which is composed of three optimum switching states only.en
dc.subject.translateddual inverter, model predictive control, space vector PWM, power lossesen
dc.type.statusPeer-revieweden
dc.identifier.obd43924537
dc.project.IDSGS-2018-009/Výzkum a vývoj perspektivních technologí v elektrických pohonech a strojích IIIcs
dc.project.IDLO1607/RICE-NETESIS - nové technologie a koncepce pro inteligentní průmyslové systémy (NETESIS)cs
Appears in Collections:Konferenční příspěvky / Conference papers (KEV)
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