A Very-Low-Speed Sensorless Control Induction Motor Drive with Online Rotor Resistance Tuning by Using MRAS Scheme

Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA), National School of Engineering of Sfax, University of Sfax, Sfax, Tunisia

Laboratoire des Sciences de l’Information et des Systèmes (LSIS), UMR CNRS 7296 - Ecole Centrale de Marseille (ECM), Marseille, France

Mabrouk Jouili

mabrouk.jouili@gmail.com

Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA), National School of Engineering of Sfax, University of Sfax, Sfax, Tunisia

Yassine Koubaa

yassine.koubaa@enis.rnu.tn

Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA), National School of Engineering of Sfax, University of Sfax, Sfax, Tunisia

Mohamed Boussak

mohamed.boussak@centrale-marseille.fr

Laboratoire des Sciences de l’Information et des Systèmes (LSIS), UMR CNRS 7296 - Ecole Centrale de Marseille (ECM), Marseille, France

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DOI: https://doi.org/10.2478/pead-2018-0021 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262

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Language: English

Page range: 125 - 140

Submitted on: Sep 2, 2018

Accepted on: Oct 8, 2018

Published on: Nov 26, 2019

Published by: Wroclaw University of Science and Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Induction motor,

Stator flux orientation model,

Model reference adaptive system (MRAS),

Rotor speed and resistance estimation,

Programmable cascaded low-pass filters (PCLPF)

Related subjects:

Computer sciences,

Artificial intelligence,

Engineering,

Electrical engineering,

Electronics

© 2019 Youssef Agrebi Zorgani, Mabrouk Jouili, Yassine Koubaa, Mohamed Boussak, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 4 (2019): Issue 1 (June 2019)