pso and de based pid tuning in avr system

GANGIREDLA ESWARA NAGA GANESH,

Published in International Journal of Advanced Research in Electrical and Electronics Engineering

ISSN: 2321-4775          Impact Factor:1.6         Volume:3         Issue:2         Year: 14 February,2016         Pages:88-93

Abstract

In this paper, determination of optimal parameters of a PID controller in an Automatic Voltage Regulation (AVR) system by the approach of Particle Swarm Optimization (PSO) and Differential Evolution (DE) Techniques is presented. This paper demonstrated in detail how to employ the PSO and DE methods to search efficiently the optimal PID control parameters of an AVR system. A MATLAB simulation has been performed. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency. In order to assist estimating the performance of the PID controller using PSO and DE, Minimum Error Integral (MEI) criterion Integral Absolute Error (IAE), Integral Square Error (ISE), Integral Time Absolute Error (ITAE) and Integral Time Square Error (ITSE) are used

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Kewords

AVR system, Differential Evolution, Particle Swarm Optimization, PID controller, tuning of controller

Reference

Dr.K. Vaisakh