Fuzzy Supervisory Passivity-Based High Order-Sliding Mode Control Approach for Tidal Turbine-Based Permanent Magnet Synchronous Generator Conversion System

Higher efficiency, predictability, and high-power density are the main advantages of a permanent magnet synchronous generator (PMSG)-based hydro turbine. However, control PMSG is nontrivial issue, because its time-varying parameters nonlinear dynamics. This paper suggests novel optimal fuzzy supervisor passivity-based high order sliding-mode controller to address problems faced by conventional techniques such as PI controls in machine side. An inherent advantage proposed method that terms not canceled but compensated damped way. The consists two parts: gain supervisor-PI design desired dynamic system controlling rotor speed, gain-high compute law. objectives feeding electrical grid with active power, extracting maximum tidal regulating reactive power DC voltage toward their references, whatever disturbances caused PMSG. contribution novelty present work new robust supervisory controller, which treats mechanical characteristics passive disturbance when designing compensates it. By doing so, tracks contrary other only take into account part. combined (HSMC) (PBC) resulted hybrid law attempts greatly enhance robustness approach regardless various uncertainties. Moreover, was also validated using processor loop (PIL) experiment Texas Instruments (TI) Launchpad. strategy tested under parameter variations performances were compared methods. High efficiency clearly illustrated over methods uncertainties MATLAB/Simulink PIL testing platform.