ArticleScientific reports2026
Experimental evaluation of an advanced rooted tree optimization based super twisting sliding mode power control for variable-speed wind turbine systems.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study presents a novel control strategy to improve the performance analysis of a DFIG-based wind power system. The main objective is to improve the quality of the produced energy, reduce the THD and enhance the system stability. The proposed method employs the RTO algorithm combined with the super-twisting control, applied within a sliding mode control. Although the latter is frequently applied in wind system control, it has major drawbacks, including a high THD, mainly caused by the chattering phenomenon. The proposed control strategy aims to mitigate this phenomenon while ensuring better robustness against variations in system parameters. The simulation results confirm the effectiveness of the proposed controller, using Matlab/Simulink environment, and experimental tests conducted on a workbench using the dSPACE-DS1104-board. The results from both simulations and experimental tests demonstrate the superior performance of the proposed controller compared to conventional techniques, with current THD below 3%, active and reactive power tracking errors reduced to 0.11%, and overall efficiency reaching 98.88%.
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