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