1 Dept. of Electrical Engineering, Amrita School of Engineering, Coimbatore, India.
2 Sri Ramakrishna Institute of Technology, Coimbatore, India.
3 Government College of Engineering, Salem, India.
In this paper, the use of artificial neural network (ANN) is proposed for controlling the gas turbine plant. The mathematical model of the gas turbine plant obtained by Rowen based on his field experience, design and test results is used to simulate the response of the gas turbine plant. Proportional – Integral – Derivative (PID) controller is designed to control the plant using Ziegler Nichols’ (ZN) method. In order to take the advantage of the superior speed of ANN over conventional PID controllers, multilayer neural network is trained using backpropagation for controlling the speed of the gas turbine. The proposed ANN controls the speed of the gas turbine in a satisfactory manner.
Gas turbine, PID controller, Neural Networks
