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dc.contributor.authorVotava, Martin
dc.contributor.authorŠmídl, Václav
dc.contributor.authorPeroutka, Zdeněk
dc.contributor.authorGlasberger, Tomáš
dc.date.accessioned2021-11-01T11:00:35Z-
dc.date.available2021-11-01T11:00:35Z-
dc.date.issued2021
dc.identifier.citationVOTAVA, M. ŠMÍDL, V. PEROUTKA, Z. GLASBERGER, T. Maximizing power utilization of dual converter using predictive control with steady state cost. IET Power Electronics, 2021, roč. 14, č. 13, s. 2234-2248. ISSN: 1755-4535cs
dc.identifier.issn1755-4535
dc.identifier.uri2-s2.0-85111359691
dc.identifier.urihttp://hdl.handle.net/11025/45623
dc.format15 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherWileyen
dc.relation.ispartofseriesIET Power Electronicsen
dc.rights© authorsen
dc.titleMaximizing power utilization of dual converter using predictive control with steady state costen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedCapability to deliver maximum power of a converter is essential for increasing power density that is limiting in many applications. Therefore, control algorithm should guarantee operation within converter thermal limits. This requirement can be formalized by a hard constraint in the cost function of model predictive control (MPC). However, the temperatures of the converter elements are not constant in the steady state, which complicates evaluation of the cost on long prediction horizon. Therefore, the evaluation is simplified utilizing the analysis of steady state behaviour of the model and derived current derating laws calculated in off-line manner. The derating law is used as the terminal set in MPC which allows using one-step-ahead evaluation for efficient real-time implementation. The steady state analysis also provides coefficients for power loss balancing. The proposed approach is applied to control of dual converter, which has high redundancy of switching elements and, thus, wide space for optimization. It is shown in simulation that the proposed approach has better performance than previously published algorithms, at lower computational cost. Experimental evaluation of the algorithm performed on a converter prototype of rated power of 10 kW shows that the proposed controller is able to safely operate the converter near the thermal limit.en
dc.subject.translatedmodel predictive controlen
dc.subject.translatedthermal modelen
dc.subject.translatedIGBTen
dc.subject.translatedpower lossesen
dc.identifier.doi10.1049/pel2.12174
dc.type.statusPeer-revieweden
dc.identifier.document-number680062700001
dc.identifier.obd43933311
dc.project.IDEF18_069/0009855/Elektrotechnické technologie s vysokým podílem vestavěné inteligencecs
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