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

TL;DR

This paper introduces a fuzzy Takagi-Sugeno based Model Reference Control approach for wind turbines in full load conditions, optimizing rotor speed and torque tracking through LMI-based synthesis.

Contribution

It develops a novel MRC method using TS fuzzy systems and LMI optimization, specifically tailored for wind turbines in full load operation.

Findings

Effective rotor speed and torque tracking demonstrated in simulations.

Robust performance under turbulent wind and gust conditions.

Successful FRT scenario handling with zero generator torque.

Abstract

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.