Grey Wolf Optimization Algorithm based PID controller design for AVR Power system

Abstract

This Article deals with grey wolf optimization algorithm (GWO) detestable on migration demeanors proposed to get the optimum values implementing PID controller for a given automatic voltage regulator system (AVR). In this paper, we briefly described the details about the grey wolf optimization algorithm for proper compatibility of the parameters of PID controllers with integral square error (ISE) using the objective function. the proposed topic simulation outcomes of the response of AVR assimilate with Grey wolf Optimization (GWO), Water Cycle Algorithm (WCA), Monarch butterfly algorithm (MBA), Particle Swarm Optimization (PSO), Chaotic PSO(CPSO), algorithm in terms of peak time, amplitude and settling time with performance check including IAE, ISE, and ITAE function.