Hybrid linear and nonlinear active disturbance rejection control for a gas turbine power generation system using a lookup table-based type-2 fuzzy method

Selecting appropriate dynamics and developing accurate models for gas turbines is a complex yet essential task, as model accuracy directly affects the performance of model-based control strategies. To address this challenge, this article employs the Active Disturbance Rejection Control (ADRC) approach, a model-free control method, for the operation of gas turbines. In the proposed scheme, Linear ADRC (LADRC) is applied to regulate the fuel flow and exhaust temperature, while Nonlinear ADRC (NLADRC) is used for rotor speed control. Considering the inherent delays in gas turbine systems, a predictor observer is incorporated. Furthermore, the controller parameters are optimized using a type-2 fuzzy method, where a lookup table is implemented to accelerate the computation process compared to real-time fuzzy inferences significantly. Simulation results confirm the effectiveness of the proposed controller in handling uncertainties and external disturbances.