A PARTICLE SWARM OPTIMIZATION APPROACH FOR OPTIMUM DESIGN OF PID CONTROLLER IN AVR SYSTEM

Abstract

This project work presents a well-known design technique that uses the particle swarm optimisation (PSO) algorithm to find the ideal proportional-integral-derivative (PID) controller settings of an AVR system. This project provided a detailed explanation of how to use the PSO approach to effectively search for the ideal PID controller parameters in an AVR system. Superior advantages of the suggested approach were its simple implementation, consistent convergence characteristic, and high computing efficiency. Quick adjustment of the ideal PID controller settings produces a solution of excellent quality. A new time-domain performance criterion function was also constructed in order to estimate the performance of the proposed PSO-PID controller. When it came to enhancing the step responsiveness of an AVR system, the suggested solution was in fact more reliable and efficient than both Zeigler-Nichol's and the genetic algorithm (GA).