Open AccessEnhanced Performance of PMSG in WECS Using MPPT - Fuzzy Sliding Mode Control
Author(s) -
Mohammad Berel Toriki,
Muhammad Khamim Asy’ari,
Ali Musyafa
Publication year - 2021
Publication title -
journal européen des systèmes automatisés/journal européen des systèmes automaitsés
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.16
H-Index - 20
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.540110
Subject(s) - maximum power point tracking , control theory (sociology) , permanent magnet synchronous generator , maximum power principle , turbine , wind power , computer science , matlab , sliding mode control , boost converter , voltage , engineering , electrical engineering , nonlinear system , control (management) , inverter , physics , mechanical engineering , artificial intelligence , quantum mechanics , operating system
The wind turbine is a tool used to convert wind energy into electrical energy. This research applies the maximum power point tracking (MPPT) algorithm combined with the fuzzy sliding mode control (FSMC) to produce maximum power in the wind turbine. Addition of fuzzy logic algorithm to sliding mode control to reduce the chattering phenomenon caused by the high switching frequency of the MOSFET in the boost converter. The permanent magnet synchronous generator (PMSG) type of generator with a capacity of 600 watts is used to convert the mechanical energy of the turbine into electrical energy. Tracing the maximum power value of the generator with the MPPT-FSMC algorithm in this study based on the value of the generator output voltage, generator output current, and converter output voltage obtained through simulations on MATLAB / SIMULINK. Comparison of wind turbine performance using MPPT-FSMC and without MPPT is shown as validation of improved wind turbine performance when using intelligent control algorithm.