LAPSE:2023.19280
Published Article
LAPSE:2023.19280
Improved DTC-SVM Based on Input-Output Feedback Linearization Technique Applied on DOEWIM Powered by Two Dual Indirect Matrix Converters
Mourad Sellah, Abdellah Kouzou, Mostefa Mohamed-Seghir, Mohamed Mounir Rezaoui, Ralph Kennel, Mohamed Abdelrahem
March 9, 2023
Abstract
This paper focuses on the application of the direct torque control based on space vector modulation (DTC-SVM), combined with the input−output feedback linearization (IOFL) technique on a three-phase dual open-end windings induction motor (DOEWIM) fed by two dual indirect matrix converters. The main aim of integrating the non-linear technique is to overcome the main drawbacks met within the application of the conventional DTC-SVM on dual-stator induction motor (DSIM), such as the torque and flux ripples reduction, the stator harmonics current minimization, and the elimination of the common-mode voltage (CMV). Furthermore, it is proved in this paper that the proposed control on DOEWIN can ensure more flexibility versus speed reverse and variation, load torque changes, and motor parameters variation. The obtained results prove the validity of the proposed control on the studied induction motor topology in ensuring the main aforementioned advantages compared to the conventional DTC-SVM control on DSIM, which presents a promising solution, especially in industrial applications in which high-power motors are required.
Keywords
common-mode voltage, DTC, DTC-SVM, dual open-end winding induction machine, input–output feedback linearization
Suggested Citation
Sellah M, Kouzou A, Mohamed-Seghir M, Rezaoui MM, Kennel R, Abdelrahem M. Improved DTC-SVM Based on Input-Output Feedback Linearization Technique Applied on DOEWIM Powered by Two Dual Indirect Matrix Converters. (2023). LAPSE:2023.19280
Author Affiliations
Sellah M: Applied Automation and Industrial Diagnosis Laboratory (LAADI), Faculty of Science and Technology, Djelfa University, Djelfa 17000, Algeria
Kouzou A: Applied Automation and Industrial Diagnosis Laboratory (LAADI), Faculty of Science and Technology, Djelfa University, Djelfa 17000, Algeria; Electrical and Electronics Engineering Department, Nisantasi University, Istanbul 34398, Turkey [ORCID]
Mohamed-Seghir M: Department of Ship Automation, Gdynia Maritime University, 81-225 Gdynia, Poland [ORCID]
Rezaoui MM: Applied Automation and Industrial Diagnosis Laboratory (LAADI), Faculty of Science and Technology, Djelfa University, Djelfa 17000, Algeria
Kennel R: Institute for Electrical Drive Systems and Power Electronics (EAL), Technical University of Munich (TUM), 80333 Munich, Germany
Abdelrahem M: Institute for Electrical Drive Systems and Power Electronics (EAL), Technical University of Munich (TUM), 80333 Munich, Germany; Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71516, Egypt [ORCID]
Journal Name
Energies
Volume
14
Issue
18
First Page
5625
Year
2021
Publication Date
2021-09-07
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14185625, Publication Type: Journal Article
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LAPSE:2023.19280
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https://doi.org/10.3390/en14185625
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