Output current observation and control of grid-connected modular multilevel converter using a simplified super twisting algorithm sliding mode
This paper presents a method for observing and controlling the output current of a grid-connected Modular Multilevel Converter (MMC) using a Simplified Super Twisting Algorithm-Sliding Mode (SSTA-SM). This strategy effectively observes and controls the output current under steady-state and dynamic c...
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Elsevier
2025-03-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025003652 |
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author | Imane Alia Imad Merzouk Mehamed Mounir Rezaoui Hegazy Rezk Abderezak Lashab |
author_facet | Imane Alia Imad Merzouk Mehamed Mounir Rezaoui Hegazy Rezk Abderezak Lashab |
author_sort | Imane Alia |
collection | DOAJ |
description | This paper presents a method for observing and controlling the output current of a grid-connected Modular Multilevel Converter (MMC) using a Simplified Super Twisting Algorithm-Sliding Mode (SSTA-SM). This strategy effectively observes and controls the output current under steady-state and dynamic conditions. For the current observation, a Simplified Super Twisting Algorithm-Sliding Mode Luenberger Observer (SSTA-SMLO) is employed. This observer combines the simplicity of the Luenberger Observer (LO) with the robustness of the SSTA-SMO, providing high estimation accuracy while reducing system complexity. Moreover, the proposed Simplified Super Twisting Algorithm-Sliding Mode Control (SSTA-SMC) strategy ensures excellent control performance while maintaining the important features of traditional Sliding Mode Control (SMC). A MATLAB-based simulation and comparative analysis were conducted, evaluating SSTA-SMLO and SSTA-SMC against a Sliding Mode Observer (SMO) and a conventional proportional-integral (PI) controller. The results demonstrate that SSTA-SMC and SSTA-SMLO surpass the classic methods. |
format | Article |
id | doaj-art-c4df15551fbd45b783a0270d285e77f8 |
institution | Kabale University |
issn | 2590-1230 |
language | English |
publishDate | 2025-03-01 |
publisher | Elsevier |
record_format | Article |
series | Results in Engineering |
spelling | doaj-art-c4df15551fbd45b783a0270d285e77f82025-02-09T05:01:07ZengElsevierResults in Engineering2590-12302025-03-0125104280Output current observation and control of grid-connected modular multilevel converter using a simplified super twisting algorithm sliding modeImane Alia0Imad Merzouk1Mehamed Mounir Rezaoui2Hegazy Rezk3Abderezak Lashab4Laboratory of Applied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Sciences and Technology, University of Djelfa, PO Box 3117, Djelfa 17000, Algeria; Corresponding author.Laboratory of Applied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Sciences and Technology, University of Djelfa, PO Box 3117, Djelfa 17000, AlgeriaLaboratory of Applied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Sciences and Technology, University of Djelfa, PO Box 3117, Djelfa 17000, AlgeriaDepartment of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Saudi Arabia, Saudi ArabiaCenter for Research on Microgrids (CROM), AAU Energy, Aalborg University, 9220 Aalborg, DenmarkThis paper presents a method for observing and controlling the output current of a grid-connected Modular Multilevel Converter (MMC) using a Simplified Super Twisting Algorithm-Sliding Mode (SSTA-SM). This strategy effectively observes and controls the output current under steady-state and dynamic conditions. For the current observation, a Simplified Super Twisting Algorithm-Sliding Mode Luenberger Observer (SSTA-SMLO) is employed. This observer combines the simplicity of the Luenberger Observer (LO) with the robustness of the SSTA-SMO, providing high estimation accuracy while reducing system complexity. Moreover, the proposed Simplified Super Twisting Algorithm-Sliding Mode Control (SSTA-SMC) strategy ensures excellent control performance while maintaining the important features of traditional Sliding Mode Control (SMC). A MATLAB-based simulation and comparative analysis were conducted, evaluating SSTA-SMLO and SSTA-SMC against a Sliding Mode Observer (SMO) and a conventional proportional-integral (PI) controller. The results demonstrate that SSTA-SMC and SSTA-SMLO surpass the classic methods.http://www.sciencedirect.com/science/article/pii/S2590123025003652Multilevel modular converterOutput currentSimplified super twisting algorithm-sliding mode controlSimplified super twisting algorithm-sliding mode Luenberger observer |
spellingShingle | Imane Alia Imad Merzouk Mehamed Mounir Rezaoui Hegazy Rezk Abderezak Lashab Output current observation and control of grid-connected modular multilevel converter using a simplified super twisting algorithm sliding mode Results in Engineering Multilevel modular converter Output current Simplified super twisting algorithm-sliding mode control Simplified super twisting algorithm-sliding mode Luenberger observer |
title | Output current observation and control of grid-connected modular multilevel converter using a simplified super twisting algorithm sliding mode |
title_full | Output current observation and control of grid-connected modular multilevel converter using a simplified super twisting algorithm sliding mode |
title_fullStr | Output current observation and control of grid-connected modular multilevel converter using a simplified super twisting algorithm sliding mode |
title_full_unstemmed | Output current observation and control of grid-connected modular multilevel converter using a simplified super twisting algorithm sliding mode |
title_short | Output current observation and control of grid-connected modular multilevel converter using a simplified super twisting algorithm sliding mode |
title_sort | output current observation and control of grid connected modular multilevel converter using a simplified super twisting algorithm sliding mode |
topic | Multilevel modular converter Output current Simplified super twisting algorithm-sliding mode control Simplified super twisting algorithm-sliding mode Luenberger observer |
url | http://www.sciencedirect.com/science/article/pii/S2590123025003652 |
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