<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This short article constitutes an introductory part of the Special Section (SS) on State and Parameter Estimation Methods in Sensorless Drives. In the current issue of the journal, the first part of this section is published. Accepted articles are focussed mainly on estimation of the state variables and parameters for vector-controlled induction motor (IM) drives, using different concepts, such as different types of Kalman filters (KFs) and model reference adaptive systems (MRASs). The KF was also proposed for brushless DC motor (BLDC). Also, neural networks (NNs) have been proposed for mechanical state variables’ estimation of the drive system with elastic couplings.</p></abstract>

This short article constitutes an introductory part of the Special Section (SS) on State and Parameter Estimation Methods in Sensorless Drives. In the current issue of the journal, the first part of this section is published. Accepted articles are focussed mainly on estimation of the state variables and parameters for vector-controlled induction motor (IM) drives, using different concepts, such as different types of Kalman filters (KFs) and model reference adaptive systems (MRASs). The KF was also proposed for brushless DC motor (BLDC). Also, neural networks (NNs) have been proposed for mechanical state variables’ estimation of the drive system with elastic couplings.

Introduction to the Special Section on State and Parameter Estimation Methods for Sensorless Drives

Power Electronics and Drives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This short article constitutes an introductory part of the Special Section (SS) on State and Parameter Estimation Methods in Sensorless Drives. In the current...

Introduction to the Special Section on State and Parameter Estimation Methods for Sensorless Drives

Article Category: Special Section on Sensorless Drives

Publié en ligne: 17 nov. 2018

Pages: 111 - 113

Reçu: 09 août 2018

Accepté: 05 oct. 2018

DOI: https://doi.org/10.2478/pead-2018-0018

Mots clés
sensorless control, extended Kalman filter, unscented Kalman filter, MRAS estimators, neural networks

© 2018 Murat Barut, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Introduction to the Special Section on State and Parameter Estimation Methods for Sensorless Drives

Article Category: Special Section on Sensorless Drives

Publié en ligne: 17 nov. 2018

Pages: 111 - 113

Reçu: 09 août 2018

Accepté: 05 oct. 2018

DOI: https://doi.org/10.2478/pead-2018-0018

Mots cléssensorless control, extended Kalman filter, unscented Kalman filter, MRAS estimators, neural networks

© 2018 Murat Barut, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
sensorless control, extended Kalman filter, unscented Kalman filter, MRAS estimators, neural networks