Intelligent Energy-Based Modified Super Twisting Algorithm and Factional Order PID Control for Performance Improvement of PMSG Dedicated to Tidal Power System

The majority of marine current conversion technologies are based on permanent magnet synchronous generators (PMSG) due to its numerous advantages such as high-power density, low cost, and favorable electricity production. However, nonlinear properties the generator parameter uncertainties, makes controller design more than a simple challenge. This paper proposes new adaptive passivity-based (PB) modified super twisting algorithm (PBSTA) for control performance improvement (low tracing errors, fast convergence response, robustness) PMSG energy system under swell effect uncertainties. proposed approach combines PB (PBCC) with through fuzzy logic supervisor. A fractional order PID (FO-PID) is introduced desired dynamics system. main contributions motivation this work include extraction maximum power from tidal current, integrating it grid making closed loop passive. possible by reshaping introducing damping term that compensates terms damped way not cancellation. Two steps needed controller: first step includes derivation reference torque using FO-PID. In second step, overall law computed PBSTA. exponential stability error analytically proven. developed tested variations compared benchmark methods sliding mode. Extensive investigation MATLAB/Simulink, demonstrates clearly technique provides higher efficiency robustness over methods.