Multivariable Optimal Control of Fuel inlet and IGV Parameters of Gas Turbine via PID-PSO Controller in presence of Noise

Multi variable control of fuel inlet (FI) and inlet gas vane (IGV) parameters of gas turbine via PID controller in presence of noise, that is discussed in this paper. Nowadays, there is undoubtedly main rules(energy harvesting and high efficiency) of gas turbine in various industries. Researchers think and discover about different physical parameters of gas turbine. So, they can present model of complicate gas turbine in order to model should be near reality structure and also gas turbine model has more perfect features. Therefore, fuel FI and IGV are critical parameters for increasing and decreasing efficiency of system of gas turbine, where are effected on power system. In this research, we are modeling and simulating gas turbine in frequency and time domains respectively, for controlling FI and IGV parameters based on PID controller in existence of noise signals. PID coefficients are determined on trail and error approach, in order to system preserve or track its velocity, power and temperature of outlet gas in nominal and reference values.