Title: Rotor and stator resistance estimation of induction motor based on augmented EKF
Authors: Talla, Jakub
Peroutka, Zdeněk
Blahník, Vojtěch
Streit, Luboš
Citation: 2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.253-258.
Issue Date: 2015
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
URI: http://hdl.handle.net/11025/35133
ISBN: 978-80-261-0385-1 (Print)
978-80-261-0386-8 (Online)
ISSN: 1803-7232 (Print)
1805-9597 (Online)
Keywords: rotory;odpor;statory;matematický model;odhad;výpočetní modelování;adaptační modely
Keywords in different language: rotors;resistance;stators;mathematical model;estimation;computational modeling;adaptation models
Abstract in different language: 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.
Rights: © University of West Bohemia
Appears in Collections:Články / Articles (KAE)
Applied Electronics 2015
Applied Electronics 2015

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