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