Control of a Wind Turbine based on DFIG by Improved Direct Torque Control using Fuzzy Logic

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Karim Fathi Sayeh
Salah Tamalouzt
Djamel Ziane
Younes Sahri
Brahim Deffaf
Sofia Lalouni Belaid


The capacity of doubly-fed induction generators (DFIGs) to regulate both active and reactive power makes them a well-liked option for wind turbines. Direct Torque Control (DTC) is a commonly employed method for managing DFIGs, but it has limitations such as torque and flux ripples, which can reduce efficiency and cause stress on the turbine components. This study proposes a novel approach that combines DTC with a fuzzy logic controller (FLC) to address these limitations. Fuzzy logic control is a rule-based technique that can handle complex systems and nonlinearities. By incorporating FLC into DTC, the proposed Fuzzy Logic-based DTC (FH-DTC) seeks to enhance the WT-DFIG system's overall performance. MATLAB/Simulink simulations are used to evaluate the effectiveness of FH-DTC. The results are expected to demonstrate that FH-DTC significantly reduces torque and flux ripples compared to conventional DTC, leading to improved efficiency, reduced stress on turbine components, and ultimately, better overall performance of the WT-DFIG system.

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How to Cite
K. F. Sayeh, S. . Tamalouzt, D. . Ziane, Y. . Sahri, B. . Deffaf, and S. . Lalouni Belaid, “Control of a Wind Turbine based on DFIG by Improved Direct Torque Control using Fuzzy Logic”, J. Ren. Energies, vol. 1, no. 1, pp. 71 -, May 2024.


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