Priority based optimization of PID controller for automatic voltage regulator system using gravitational search algorithm

In this paper, an optimal design PID controller for automatic voltage regulator (AVR) using gravitational search algorithm (GSA) is presented. In the present work, a priority based error magnification technique is used. This technique emphasizes on the need of prioritizing certain characteristics of transient response of an AVR system. The proposed method consists of a fitness function that helps GSA to search optimum value of PID controller parameters quickly and efficiently. Results obtained using GSA is compared with that other optimization techniques such as genetic algorithm (GA) and particle swarm optimization (PSO). It is observed that the results obtained using GSA is the best in comparison to the results obtained using GA and PSO.