Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F11%3A43925014" target="_blank" >RIV/49777513:23220/11:43925014 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6119446" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6119446</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IECON.2011.6119446" target="_blank" >10.1109/IECON.2011.6119446</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives

Popis výsledku v původním jazyce

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 aswell 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 10.7

Název v anglickém jazyce

Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives

Popis výsledku anglicky

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 aswell 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 10.7

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IECON Proceedings (Industrial Electronics Conference)

ISBN

978-1-61284-972-0

ISSN

1553-572X

e-ISSN

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Počet stran výsledku

6

Strana od-do

2000-2005

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Melbourne, Austrálie

Datum konání akce

7. 11. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000299032402033