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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F15%3A43925916" target="_blank" >RIV/49777513:23220/15:43925916 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7301099&newsearch=true&queryText=Rotor%20and%20stator%20resistance%20estimation%20of%20induction%20motor%20based%20on%20augmented%20EKF" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7301099&newsearch=true&queryText=Rotor%20and%20stator%20resistance%20estimation%20of%20induction%20motor%20based%20on%20augmented%20EKF</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 simu

Název v anglickém jazyce

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

Popis výsledku anglicky

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 simu

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

<a href="/cs/project/ED2.1.00%2F03.0094" target="_blank" >ED2.1.00/03.0094: Regionální inovační centrum elektrotechniky (RICE)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 20th International Conference on Applied Electronics 2015 (APPEL 2015)

ISBN

978-80-261-0385-1

ISSN

1803-7232

e-ISSN

—

Počet stran výsledku

6

Strana od-do

253-258

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Plzeň, Česká republika

Datum konání akce

8. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—