Fuzzy-Swarm Controller for Automatic Voltage Regulator of Synchronous Generator

Abstract

The main objective of this work is to propose Artificial Intelligence (AI) controller to enhance the performance of Automatic Voltage Regulator (AVR) of a Synchronous Generator (SG) during different loading conditions. The proposed mathematical model of the SG with saturation nonlinearities is connected to different loads in two ways. The first each load is connected individually and the second the SG loads change during the operation to ensure the robustness of controller for wide load variations. Two types of controllers are used. The first controller is the Proportional-Integral (PI) based on Particle Swarm Optimization (PSO) technique to obtain optimal gains. The second controller is Fuzzy PD+I with gains and Membership Functions (MFs) tuned by PSO technique. The results show the improvement of PI-PSO performance on conventional PI controller; also show the improvement in the performance of Fuzzy PD+I using PSO technique on PI-PSO. The simulation of SG is performed using MATLAB program version 7.10.0.499 (R2010a).

Keywords

• synchronous generator
• automatic voltage regulator
• pi controller
• fuzzy pd