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Passivity-based fuzzy logic approach for optimal power extraction from PMSG-wind energy conversion Chaturvedi, Pallavi; Palwalia, Dheeraj Kumar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1826-1837

Abstract

The preference for permanent magnet synchronous generators (PMSGs) in wind energy conversion systems (WECS) is due to their reliability, compactness, and efficiency. However, designing controllers for PMSG-WECS faces challenges from parameter uncertainties, nonlinearity, and grid integration. To address this, a novel passivity-based nonlinear controller (PBNC) is proposed to precisely track speed and torque. This unique PBNC employs a damped approach to address nonlinearity and integrates a fuzzy logic controller (FLPBNC) for robustness. The chosen strategy shapes energy dynamics using Lyapunov functions. The addition of damping elements ensures Lyapunov stability condition and boosts convergence while keeping the energy functions positive. The system design involves linking passive mechanical and electrical parts in a feedback loop. Meanwhile, for grid integration, a proportional-integral (PI) controller manages DC-link voltage and active power supply to the grid. MATLAB/Simulink simulations confirm the effectiveness of the proposed approach compared to conventional methods.