Estimation of Stator Voltage of Inverter-Supplied Induction Motor Using Kalman Filter
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Estimation of Stator Voltage of Inverter-Supplied Induction Motor Using Kalman Filter
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AETA 2019 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application
ISBN
9783030530204
ISSN
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e-ISSN
1876-1119
Number of pages
10
Pages from-to
64-73
Publisher name
Springer
Place of publication
Cham
Event location
Bogotá
Event date
Nov 6, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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