You are in:Home/Publications/" Optimal PID Controller for AVR System Using Particle Swarm Optimization ", Proceedings of The 8th ICEENG Conference , Military Technical College , May 29 – 31 , 2012 , paper no. EE 000 | |
Prof. Wagdy Mohamed Mansour :: Publications: |
Title: | " Optimal PID Controller for AVR System Using Particle Swarm Optimization ", Proceedings of The 8th ICEENG Conference , Military Technical College , May 29 – 31 , 2012 ,
paper no. EE 000
|
Authors: | H. F. Abu-Seada, W. M. Mansour, F. M. Bendary, A. A. Emery, |
Year: | 2012 |
Keywords: | Not Available |
Journal: | Not Available |
Volume: | Not Available |
Issue: | Not Available |
Pages: | Not Available |
Publisher: | Not Available |
Local/International: | Local |
Paper Link: | Not Available |
Full paper | Not Available |
Supplementary materials | Not Available |
Abstract: |
This paper presents a method to get the optimal tuning of Proportional Integral Derivative (PID) controller parameters for an AVR system of a synchronous generator using Particle Swarm Optimization (PSO) algorithm. The AVR is not initially robust to variations of the power system parameters. Therefore, it was necessary to use PID controller to increase the stability margin and to improve performance of the system. Tuning of optimum (PID) controller parameter yield high quality solution. A new criterion for time domain performance evaluation was defined. Simulation for comparison between the proposed method and Ziegler-Nichols method is done. The proposed method was indeed more efficient also. The terminal voltage step response for AVR model will be discussed in different cases and the effect of adding rate feed back stabilizer to the model on the terminal voltage response. Then the rate feedback will be compared with the proposed PID controller based on use of (PSO) method to find its coefficients. Different simulation results are presented and discussed. |