Open AccessMPPT Control for Wind Energy Conversion System Based on a T-S Fuzzy
Author(s) -
Abdennasser Benkada,
Hamid Chaikhy,
Mohamed Monkade
Publication year - 2018
Publication title -
international journal of power electronics and drive systems (ijpeds)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.322
H-Index - 21
ISSN - 2088-8694
DOI - 10.11591/ijpeds.v9.i2.pp811-819
Subject(s) - maximum power point tracking , control theory (sociology) , maximum power principle , permanent magnet synchronous generator , wind power , turbine , computer science , fuzzy logic , linear matrix inequality , controller (irrigation) , power (physics) , control (management) , mathematics , mathematical optimization , engineering , physics , artificial intelligence , inverter , mechanical engineering , agronomy , quantum mechanics , electrical engineering , biology
In this paper, we focus on the modeling and control of a wind power system based on a Permanent Magnet Synchronous Generator (PMSG). We proposed a technique of control strategies to have the maximum power from wind turbine (WT). This study deals with the problem of Maximum Power Point Tracking (MPPT) based on Takagi Sugeno fuzzy model. The stability analysis is achieved. The gains of the designed controller are calculated by solving Linear Matrix Inequality (LMI). Finally, simulation results are provided to demonstrate the validity and the effectiveness of the proposed method.