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dc.contributor.authorXaver Schnurr, Christoph
dc.date.accessioned2022-03-21T14:33:27Z
dc.date.available2022-03-21T14:33:27Z
dc.date.issued2022
dc.identifierONIX_20220321_9783731510956_11
dc.identifier.issn2511-6312
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/53520
dc.languageGerman
dc.relation.ispartofseriesKarlsruher Beiträge zur Regelungs- und Steuerungstechnik
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering
dc.subject.otherModellprädiktive Regelung (MPR)
dc.subject.otherPermanentmagneterregte Synchronmaschine (PSM)
dc.subject.othermultikriterielle Optimierung
dc.subject.otherlexikographische Optimierung
dc.subject.otherModel Predictive Control (MPC)
dc.subject.otherPermanent Magnet Synchronous Machine (PMSM)
dc.subject.otherMulti-Objective Optimization
dc.subject.otherLexicographic Optimization
dc.titleEin Verfahren zur lexikographischen modellprädiktiven Regelung mit der Anwendung auf eine permanenterregte Synchronmaschine
dc.typebook
oapen.abstract.otherlanguageIn classical approaches for the torque control of Permanent Magnet Synchronous Machines the torque references are converted into current references by static lookup tables which consider power losses. This procedure is dynamically suboptimal, interdependent and strongly machine-dependent. This work addresses the question: How can a Model Predictive Controller be designed to simultaneously optimize the objectives torque reference tracking and power loss minimization?
oapen.identifier.doi10.5445/KSP/1000131520
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9
oapen.relation.isbn9783731510956
oapen.imprintKIT Scientific Publishing
oapen.series.number12
oapen.pages240
oapen.place.publicationKarlsruhe


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