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Rotor and stator resistance estimation of induction motor based on augmented EKF

Citace:
TALLA, J., PEROUTKA, Z., BLAHNÍK, V., STREIT, L. Rotor and stator resistance estimation of induction motor based on augmented EKF. In Proceedings of the 20th International Conference on Applied Electronics 2015 (APPEL 2015). Piscataway: IEEE, 2015. s. 253-258. ISBN: 978-80-261-0385-1 , ISSN: 1803-7232
Druh: STAŤ VE SBORNÍKU
Jazyk publikace: eng
Anglický název: Rotor and stator resistance estimation of induction motor based on augmented EKF
Rok vydání: 2015
Místo konání: Piscataway
Název zdroje: IEEE
Autoři: Ing. Jakub Talla Ph.D. , Prof. Ing. Zdeněk Peroutka Ph.D. , Ing. Vojtěch Blahník Ph.D. , Ing. Luboš Streit Ph.D. ,
Abstrakt EN: This paper deals with rotor and stator resistance estimation of induction motor (IM) drive based on augmented Extended Kalman Filter (EKF). The proper knowledge of rotor flux magnitude and flux position is a necessary condition for high performance induction motor control (Rotor Flux Field Oriented Control - RFOC etc.). The rotor flux estimator for RFOC is typically based on mathematical model of induction motor in dq coordinates, which are sensitive to rotor resistance value. The rotor and stator resistances are temperature dependent and could increase up to twice the nominal values. This paper deals with rotor flux estimator for induction motor without any temperature sensors. Whereas the EKF based methods commonly used the rotating reference frame based IM models, presented method is based on the stationary reference frame model of the IM. The augmented state space vector of EKF model of IM is used for rotor flux and rotor and stator resistances estimation. The paper consist of simulation as well as experimental results.
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