Abstract
This paper presents the optimization of the fractional order proportional-integral-derivative (FOPID) controller with the hybrid particle swarm and grey wolf optimization (HPSGWO) algorithm in order to control the Automatic Voltage Regulator (AVR) system. To overcome the problem of premature convergence and enhance the efficiency of the proposed HPSGWO algorithm, an improved inertia weight is proposed. The response of the proposed HPSGWO is compared with the PSO and GWO algorithms. An integralbased fitness function namely Integral Time Absolute Error (ITAE) is selected as the fitness function while the rise time, settling time and peak overshoot are considered as the dynamic response analysis. The results of simulation show that the proposed HPSGWO algorithm surpassed the PSO and GWO algorithms with rapid rise time, lesser settling time and the least overshoot in controlling the AVR system.