Model Reference Control for Wind Turbine Systems in Full Load Region Based on Takagi-Sugeno Fuzzy Systems

This paper presents a novel Model Reference Control (MRC) approach for windturbine (WT) systems in the full load region employing a fuzzy ParallelDistribution Compensation Controller (PDC-C) derived using a Takagi-Sugeno (TS)fuzzy System approach. Through first-order Taylor series expansion, locallinear submodels are generated and combined via triangular membership functionsto develop a TS descriptor model. From here, the MRC PDC-C is synthesized by aconstrained LMI optimization procedure, including damping characteristics ofthe elastic drive train, to track the desired rotor speed and generator torquebased on the reference model dynamics. The controller is tested on thenonlinear WT model in simulation studies under various wind conditions, such asturbulent wind, wind gusts, and a Fault Ride Through (FRT) scenario where thegenerator torque is set to 0 p.u. for 150 ms.