Design, Analysis and Tuning of an Optimal Controller for an AVR: A Simulation Approach

Abstract

Terminal voltage of the generator keeps changing when there is a mismatch between generator supply and load demand. Particularly when load increases terminal voltage of the generator decreases. This problem can be mitigated by the use of reactive power but it leads to the damage of stator winding. To overcome this Automatic voltage regulator (AVR) is used. But it is not robust. To enhance the stability and working of an AVR system, an optimal PID controller is used. In this paper, a combination of Bacteria Foraging (BF) and Particle Swarm Optimization (PSO) is used for regulating the strictures of PID controller of an AVR to get the better optimization parameter values. The performance of the algorithm is studied using MATLAB and is equated with the Bacterial Foraging algorithm and Particle swarm Optimization. Simulation outcome evidently clarify that the suggested approach is very effective and efficient as compared to further population centered global optimization algorithms.