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Statements

Subject Item
n2:RIV%2F00216305%3A26620%2F13%3APU105444%21RIV14-TA0-26620___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
Model predictive control is a modern method which was used in many different applications. One of the applications are electrical machines. Designing a controller for a synchronous drive has proven itself to be a challenging task. Many authors try to substitute one or more controllers in the cascade structure. Nevertheless, this approach calculates only the suboptimal trajectory, not the optimal trajectory. This paper presents a design of a nonlinear model predictive controller as one multiple-input multiple-output (MIMO) controller considering the system as one single system. The simulation results are shown and discussed in detail - especially the process of currents and their dynamics. Model predictive control is a modern method which was used in many different applications. One of the applications are electrical machines. Designing a controller for a synchronous drive has proven itself to be a challenging task. Many authors try to substitute one or more controllers in the cascade structure. Nevertheless, this approach calculates only the suboptimal trajectory, not the optimal trajectory. This paper presents a design of a nonlinear model predictive controller as one multiple-input multiple-output (MIMO) controller considering the system as one single system. The simulation results are shown and discussed in detail - especially the process of currents and their dynamics.
dcterms:title
Nonlinear predictive controller design of PMSM with field weakening performance Nonlinear predictive controller design of PMSM with field weakening performance
skos:prefLabel
Nonlinear predictive controller design of PMSM with field weakening performance Nonlinear predictive controller design of PMSM with field weakening performance
skos:notation
RIV/00216305:26620/13:PU105444!RIV14-TA0-26620___
n17:predkladatel
n22:orjk%3A26620
n3:aktivita
n8:P
n3:aktivity
P(ED1.1.00/02.0068), P(GAP103/10/0647), P(TE01020197)
n3:dodaniDat
n10:2014
n3:domaciTvurceVysledku
n4:6941427 n4:5093937 n4:9467882
n3:druhVysledku
n20:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
91974
n3:idVysledku
RIV/00216305:26620/13:PU105444
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Model Predictive Control (MPC), PMSM, Synchronous machine, MIMO control, optimisation.
n3:klicoveSlovo
n6:Synchronous%20machine n6:optimisation. n6:MIMO%20control n6:Model%20Predictive%20Control%20%28MPC%29 n6:PMSM
n3:kontrolniKodProRIV
[0512600AA611]
n3:mistoKonaniAkce
Vídeň
n3:mistoVydani
Neuveden
n3:nazevZdroje
Proceedings of the IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
n3:obor
n9:BC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n5:ED1.1.00%2F02.0068 n5:GAP103%2F10%2F0647 n5:TE01020197
n3:rokUplatneniVysledku
n10:2013
n3:tvurceVysledku
Pohl, Lukáš Buchta, Luděk Graf, Miroslav
n3:typAkce
n15:WRD
n3:zahajeniAkce
2013-11-10+01:00
s:numberOfPages
5
n11:hasPublisher
Neuveden
n16:isbn
978-1-4799-0223-1
n19:organizacniJednotka
26620