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I Gas Turbine LQR , INTEGRAL Controllers and Optimal PID Tuning by Ant Colony Optimization Comparative Study

Gas turbine is considered one of the most significant sources for power generation in the last decades, its dynamics analysis become increasingly more important. There are two types of controllers for gas turbines which are classical and intelligent controllers. The Linear Quadratic Controller (LQR) and integral control are classical type. Ant Colony Optimization (ACO) is intelligent type. The Linear Quadratic Controller (LQR), Integral control and Ant Colony Optimization (ACO) are developed for controlling the responses of a Gas Turbine system. Several researches of controllers and algorithms are presented to obtain the optimal solutions of the cost function and controller parameters. In this paper, an implementation of the Linear Quadratic Controller (LQR), integral control and Ant Colony Optimization (ACO) are performed for the optimization of cost function and controller parameters using an objective function. Proposed work focus on classical verses intelligent controllers. Simulation results for the systems are presented in time domain. The simulation is performed using the Linear Quadratic Controller (LQR), integral control and Ant Colony Optimization (ACO). The results of LQR are compared with the others types. The results show that the LQR is the best according to rise time and settling time.