Estimation of Stator Voltage of Inverter-Supplied Induction Motor Using Kalman Filter
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00336274" target="_blank" >RIV/68407700:21230/21:00336274 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-030-53021-1_7" target="_blank" >http://dx.doi.org/10.1007/978-3-030-53021-1_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-53021-1_7" target="_blank" >10.1007/978-3-030-53021-1_7</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Estimation of Stator Voltage of Inverter-Supplied Induction Motor Using Kalman Filter
Popis výsledku v původním jazyce
Most of the control algorithms of variable speed drives with induction motor require the knowledge of the stator voltage vector applied to the motor ter-minals. This vector is usually reconstructed from the known microcontroller’s PWM signals or the commanded voltage for the inverter is used within the con-trol algorithm. However, these solutions require a DC-link voltage sensor and compensation of the nonlinear inverter behavior. In this paper, stator voltage es-timator based on the Extended Kalman filter is proposed. This approach requires neither the knowledge of the DC-link voltage nor the nonlinear model of the in-verter. Only the knowledge of the stator currents and the rotational speed is need-ed. The proposed estimator is verified within the simulation of predictive-torque control of induction motor drive in Matlab Simulink where the comparison of the applied and the estimated voltage vector is presented along with their harmonic analysis. The accuracy of the estimated voltage vector shows its suitability for further inverter nonlinearities investigation.
Název v anglickém jazyce
Estimation of Stator Voltage of Inverter-Supplied Induction Motor Using Kalman Filter
Popis výsledku anglicky
Most of the control algorithms of variable speed drives with induction motor require the knowledge of the stator voltage vector applied to the motor ter-minals. This vector is usually reconstructed from the known microcontroller’s PWM signals or the commanded voltage for the inverter is used within the con-trol algorithm. However, these solutions require a DC-link voltage sensor and compensation of the nonlinear inverter behavior. In this paper, stator voltage es-timator based on the Extended Kalman filter is proposed. This approach requires neither the knowledge of the DC-link voltage nor the nonlinear model of the in-verter. Only the knowledge of the stator currents and the rotational speed is need-ed. The proposed estimator is verified within the simulation of predictive-torque control of induction motor drive in Matlab Simulink where the comparison of the applied and the estimated voltage vector is presented along with their harmonic analysis. The accuracy of the estimated voltage vector shows its suitability for further inverter nonlinearities investigation.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
AETA 2019 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application
ISBN
9783030530204
ISSN
—
e-ISSN
1876-1119
Počet stran výsledku
10
Strana od-do
64-73
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Bogotá
Datum konání akce
6. 11. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—