High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Artificial Neural Network based Design of Governor Controller

Author(s):

D. Adithya , Audisankara College of Engineering & Technology, Gudur; C. Dinakaran, Audisankara College of Engineering & Technology, Gudur

Keywords:

Power system, Artificial Neural Network (ANN), PID Controllers and Load Frequency Control (LFC)

Abstract

This paper presents the design of Artificial Neural Network (ANN) based PID controller, to realize fast governor action in a power generation plant. The design technique is applied to single area, two area systems, to tune the parameters of the PID controller. Feed forward neural network architecture is chosen for the design of controller, which is trained by a popular back propagation algorithm. Performance of the proposed ANN based controller, is compared with conventional integral and PID controllers, through dynamic simulation. It is observed that ANN based controller provides better performance, through dynamic simulation show that the neural-network controller has quite satisfactory generalization capability, feasibility and reliability, as well as accuracy in multi area system.

Other Details

Paper ID: IJSRDV7I90240
Published in: Volume : 7, Issue : 9
Publication Date: 01/12/2019
Page(s): 261-267

Article Preview

Download Article