Enhanced performance of PMSG in WECS using MPPT – Fuzzy sliding mode control

Mohammad Berel Toriki*, Muhammad Khamim Asy’ari, Ali Musyafa

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)85-96
Number of pages12
JournalJournal Europeen des Systemes Automatises
Issue number1
Publication statusPublished - Feb 2021


  • Boost converter
  • Fuzzy sliding mode control
  • Maximum power point tracking
  • Wind turbine


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