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Electrical Engineering
Erschienen in: Electrical Engineering 5/2022

10.05.2022 | Original Paper

Improvement of sensorless control of induction motor by voltage source inverter nonlinearities compensation and extended Kalman filter

verfasst von: Lamyae Et-taaj, Zakaria Boulghasoul, Abdellah El Kharki, Abdelhadi Elbacha

Erschienen in: Electrical Engineering | Ausgabe 5/2022

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Abstract

In induction motors (IM) sensorless control, the speed is estimated using the measured currents and reference voltages instead of the measured ones. At a standstill and low speeds, the voltage source inverter (VSI) nonlinearities become significant and comparable with the reference voltages. These nonlinearities give rise to significant errors between reference and measured voltages at low speeds and standstill, which negatively affect the quality of sensorless control at low speeds and standstill. Based on the extended Kalman filter (EKF) observer, this paper presents a sensorless control of IM considering the VSI nonlinearities. The same EKF is used to simultaneously estimate rotor speed and VSI nonlinearities, which are injected into the control of the IM to ensure online compensation of VSI nonlinearities. The experimental results obtained by the dSPACE system and ControlDesk software show the effectiveness of the EKF with VSI nonlinearities compensation at low speeds and standstill compared with the classic EKF.
Vorheriger Artikel Urban monthly power load forecasting based on economy-meteorology-gas demand coupling
Nächster Artikel Microgrid state and frequency estimation using Kalman filter: an approach considering an augmented measurement Jacobian matrix

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Metadaten
Titel
Improvement of sensorless control of induction motor by voltage source inverter nonlinearities compensation and extended Kalman filter
verfasst von
Lamyae Et-taaj
Zakaria Boulghasoul
Abdellah El Kharki
Abdelhadi Elbacha
Publikationsdatum
10.05.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 5/2022
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-022-01560-1

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