Design and simulation of Fuzzy and Fuzzy-PI controller for speed of Gas Turbine

In this paper, fuzzy and fuzzy-PI controllers are designed to control the rotor speed of Gas Turbine (GT). The goal of the presented controllers is to keep the turbine rotor speed within predefined limits during startup as well as during operating condition. For speed loop output rotor speed is controlled variable and inlet fuel flow rate is manipulating variable. The fuzzy controller and fuzzy-PI controller are designed using Takagi-Sugeno method and Mamdani method, respectively. In applying the fuzzy-PI control to a gas-turbine plant, the tuning parameters (K
P
and K
I
) are modified online by a fuzzy logic approach. Error and rate of change of error are inputs and change in fuel flow is output for both the controllers. Also, the constraints on the inlet fuel flow and output rotor speed are taken into account. The existing linear model of GT available in the literature is considered to design the speed controllers. The performance of Fuzzy and Fuzzy-PI controller is tested in the MATLAB Simulink environment. During simulations, the demand power is taken as disturbance input. The performance of the proposed controllers is compared with each other as well as with H
∞
robust and MPC controllers for the same operating conditions. From the obtained results, it is observed that fuzzy controller reduces the overshoot and settling time as compared with MPC and H
∞
controller. Fuzzy-PI controller response is better than MPC and fuel constraint is maintained in a smoother way. Fuzzy and Fuzzy-PI controllers can be considered as the options for the speed control of GT.