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Statements

Subject Item
n2:RIV%2F49777513%3A23220%2F11%3A43925014%21RIV15-GA0-23220___
rdf:type
skos:Concept n20:Vysledek
rdfs:seeAlso
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6119446
dcterms:description
Performance of square-root extended Kalman filter (EKF) based on reduced order models for sensorless control of PMSM drives is studied. The reduced order model of PMSM has two-dimensional state vector comprising of: (i) electrical rotor speed, and (ii) electrical rotor position. These state quantities are estimated by the EKF without either speed or position sensor on the motor shaft. The reduction of the model order results in dramatic speed-up of calculation of the estimator which takes only a few tens of microseconds on a conventional fixed-point digital signal processor. Accuracy of the estimator is improved using square-root representation of the covariance matrix. The proposed square-root EKF estimator is eligible for sophisticated diagnostics as well for sensorless control of PMSM drive in a wide range of industrial applications. Presented theoretical conclusions are verified by both simulations and experiments carried out on developed PMSM drive prototype of rated power of 10.7kW. Performance of square-root extended Kalman filter (EKF) based on reduced order models for sensorless control of PMSM drives is studied. The reduced order model of PMSM has two-dimensional state vector comprising of: (i) electrical rotor speed, and (ii) electrical rotor position. These state quantities are estimated by the EKF without either speed or position sensor on the motor shaft. The reduction of the model order results in dramatic speed-up of calculation of the estimator which takes only a few tens of microseconds on a conventional fixed-point digital signal processor. Accuracy of the estimator is improved using square-root representation of the covariance matrix. The proposed square-root EKF estimator is eligible for sophisticated diagnostics as well for sensorless control of PMSM drive in a wide range of industrial applications. Presented theoretical conclusions are verified by both simulations and experiments carried out on developed PMSM drive prototype of rated power of 10.7kW.
dcterms:title
Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives
skos:prefLabel
Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives
skos:notation
RIV/49777513:23220/11:43925014!RIV15-GA0-23220___
n3:aktivita
n7:P
n3:aktivity
P(ED2.1.00/03.0094), P(GAP102/11/0437)
n3:dodaniDat
n9:2015
n3:domaciTvurceVysledku
n4:6823033
n3:druhVysledku
n14:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
226057
n3:idVysledku
RIV/49777513:23220/11:43925014
n3:jazykVysledku
n12:eng
n3:klicovaSlova
sensorless control, square root EKF, PMSM drive
n3:klicoveSlovo
n5:PMSM%20drive n5:sensorless%20control n5:square%20root%20EKF
n3:kontrolniKodProRIV
[C48DB0728654]
n3:mistoKonaniAkce
Melbourne, Austrálie
n3:mistoVydani
Piscataway
n3:nazevZdroje
IECON Proceedings (Industrial Electronics Conference)
n3:obor
n19:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n16:ED2.1.00%2F03.0094 n16:GAP102%2F11%2F0437
n3:rokUplatneniVysledku
n9:2011
n3:tvurceVysledku
Šmídl, Václav Peroutka, Zdeněk
n3:typAkce
n13:WRD
n3:wos
000299032402033
n3:zahajeniAkce
2011-11-07+01:00
s:issn
1553-572X
s:numberOfPages
6
n8:doi
10.1109/IECON.2011.6119446
n18:hasPublisher
IEEE
n23:isbn
978-1-61284-972-0
n15:organizacniJednotka
23220