Speed-independent FCS-model predictive torque control for im based on SMO

Fengxiang Wang, Peter Stolze, Ralph Kennel, S. Alireza Davari, Davood A. Khaburi

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

In this paper, a speed-independent finite control set model predictive torque control for induction machine based on sliding mode observer is proposed. With this new method, the finite control set model predictive controller is designed as speed-independent. For the estimation of the flux, the sliding mode observer is applied. The sliding mode observer is designed as the speed-independent. In this way, predictive torque controller and observer are not dependent on the speed any more. The influence brought by speed error is eliminated. The work is developed with a 2-level voltage source inverter. The cost function is built to select the best switching vector for voltage source inverter. At every sampling period, all 7 different inverter switching vectors are taken into calculation. The best switching vectors could be confirmed by minimizing the cost function. The process and results are presented in the paper to verify the proposed strategy.

OriginalspracheEnglisch
Titel15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe
SeitenLS7b1.11-LS7b1.15
DOIs
PublikationsstatusVeröffentlicht - 2012
Veranstaltung15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe - Novi Sad, Serbien
Dauer: 4 Sept. 20126 Sept. 2012

Publikationsreihe

Name15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe

Konferenz

Konferenz15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe
Land/GebietSerbien
OrtNovi Sad
Zeitraum4/09/126/09/12

Fingerprint

Untersuchen Sie die Forschungsthemen von „Speed-independent FCS-model predictive torque control for im based on SMO“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren