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