Robust Differentiator-Based NeuroFuzzy Sliding Mode Control Strategies for PMSG-WECS

A robust control algorithm is always needed to harvest maximum power from a Wind Energy Conversion System (WECS) by operating it consistently at Maximum Power Point (MPP) in the presence of wind speed variations. In this work, Tracking (MPPT) designed via Conventional Sliding Mode Control (CSMC), Super Twisting Algorithm (STA), and Real (RTA) applied Permanent Magnet Synchronous Generator (PMSG)-based WECS. CSMC model-based whereas STA RTA are model-free controllers. practice, unavailability nonlinear terms aerodynamic forces deteriorates performance these Thus, an offline NeuroFuzzy incorporated estimate drift input channel improve robustness algorithms. addition, generator shaft its missing derivative recovered Uniform Robust Exact Differentiator (URED). order carry out comprehensive comparative study among three competitors, overall system simulated closed loop under action controllers different conditions, i.e., nominal, varying load inertia, speed, using MATLAB/Simulink. The acquired results confirm superiority over chatter reduction.