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Robust adaptive integral sliding mode control of a half-bridge bidirectional DC-DC converter

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Title: Robust adaptive integral sliding mode control of a half-bridge bidirectional DC-DC converter
Authors: Cham, Julius Derghe, orcid:0009-0006-3303-, Koffi, Francis Lénine Djanna, Boum, Alexandre Teplaira, Harrison, Ambe
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: Adaptive integral sliding mode controller, Bidirectional DC-DC converter, Boost mode, Buck mode, Integral sliding mode control, Particle swarm optimization, Robust controller
Description: A novel approach to improving the dynamic response of a half-bridgebidirectional DC-DC converter is presented in this paper, particularly in theface of disturbances from internal or external sources. These converters,which are integral to the operation of DC microgrids, are responsible forstepping up or stepping down voltage as required. To optimize theconverter's performance under varying conditions, we propose an adaptiveintegral sliding mode controller (AISMC) enhanced by particle swarmoptimization (PSO). The proposed controller leverages the strengths of bothsuper-twisting sliding mode control (STSMC) and adaptive control,providing a robust and responsive solution to the challenges posed by theconverter's nonlinear dynamics. The system's stability is rigorously ensuredthrough the application of Lyapunov stability criteria, which underpin theenhanced performance of the controller. Simulations conducted in theMATLAB/Simulink environment demonstrate that the AISMCPSOoutperforms conventional control strategies, offering superior stability,robustness, and precision. The results clearly indicate that the proposedapproach minimizes errors and enhances the overall efficiency and reliabilityof the bidirectional half-bridge DC-DC conve
Document Type: article in journal/newspaper
Language: unknown
ISSN: 2088-8708
Relation: https://zenodo.org/records/14533197; oai:zenodo.org:14533197
DOI: 10.11591/ijece.v15i1.pp114-128
Availability: https://doi.org/10.11591/ijece.v15i1.pp114-128
https://zenodo.org/records/14533197
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.EA2FAB17
Database: BASE
Description
Abstract:A novel approach to improving the dynamic response of a half-bridgebidirectional DC-DC converter is presented in this paper, particularly in theface of disturbances from internal or external sources. These converters,which are integral to the operation of DC microgrids, are responsible forstepping up or stepping down voltage as required. To optimize theconverter's performance under varying conditions, we propose an adaptiveintegral sliding mode controller (AISMC) enhanced by particle swarmoptimization (PSO). The proposed controller leverages the strengths of bothsuper-twisting sliding mode control (STSMC) and adaptive control,providing a robust and responsive solution to the challenges posed by theconverter's nonlinear dynamics. The system's stability is rigorously ensuredthrough the application of Lyapunov stability criteria, which underpin theenhanced performance of the controller. Simulations conducted in theMATLAB/Simulink environment demonstrate that the AISMCPSOoutperforms conventional control strategies, offering superior stability,robustness, and precision. The results clearly indicate that the proposedapproach minimizes errors and enhances the overall efficiency and reliabilityof the bidirectional half-bridge DC-DC conve
ISSN:20888708
DOI:10.11591/ijece.v15i1.pp114-128