Evolutionary Algorithms Based Tuning of PID Controller for an AVR System

Petchinathan Govindan

Abstract


In this paper, an evolutionary algorithm based optimization algorithm is proposed with new objective function to design a PID controller for the automatic voltage regulator (AVR) system. The new objective function is proposed to improve the transient response of the AVR control system and to obtain the optimal values of controller gain. In this paper, particle swarm optimization (PSO) and cuckoo search (CS) algorithms are proposed to tune the parameters of a PID controller for the control of AVR system. Simulation results are capable and illustrate the effectiveness of the proposed method. Numerical and simulation results based on the proposed tuning approach on PID control of an AVR system for servo and regulatory control show the excellent performance of PSO and CS optimization algorithms.


Keywords


AVR System; PID controller; Evolutionary Algorithms; Objective function; PSO; Cuckoo search



DOI: http://doi.org/10.11591/ijece.v10i3.pp%25p
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