Fuzzy-Swarm Controller for Automatic Voltage Regulator of Synchronous Generator


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