Optimal Reference Model Based Fuzzy Tracking Control for Wind Energy Conversion System

This paper presents a fuzzy tracking control strategy for wind energy conversion system (WECS) using a permanent magnet synchronous generator based variable speed wind turbine (PMSG-WT). The main contribution is to develop a new Takagi-Sugeno fuzzy tracking controller capable to drive the PMSG-WT system to track an optimal reference model maximizing the amount of electrical power extracted from wind energy over a significant wide range of weather conditions. The design procedure can be summarized in two stages: i) Construct the T-S fuzzy controller by using the PMSG-WT model and calculate its matrix gains by solving a set of linear matrix inequalities (LMIs). ii) Construct the nonlinear tracking controller and the optimal reference model according to the optimal rotor speed. Simulations on PMSG- WT model and comparison with baseline PI controller show that the wind turbine plant can be controlled effectively at different operating regions by this scheme.

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