Evolutionary Computation Techniques Based Optimal PID Controller Tuning

	International Journal of Engineering Trends and Technology (IJETT)
	© 2013 by IJETT Journal
	Volume-4 Issue-6
	Year of Publication : 2013
	Authors : Sulochana Wadhwani , Veena Verma

Citation

Sulochana Wadhwani , Veena Verma."Evolutionary Computation Techniques Based Optimal PID Controller Tuning". International Journal of Engineering Trends and Technology (IJETT). V4(6):2529-2534 Jun 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

The main aim of this paper is to analyse the implementation of two Evolutionary Computation (EC) techniques viz. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for optimal tuning of PID controllers parameters and enumerate their advantages over the conventional tuning methodologies. The two techniques were implemented and analysed on a third order plant model of a DC servomotor with the aim of developing a position controller. The results obtained fr om GA and PSO algorithms were compared with that obtained from Ziegler Nichols method. It was found that the evolutionary computation techniques outperformed traditional tuning practices of Zeigler - Nichols at tuning of PID controllers .

References

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Keywords
PID Tuning , Evolutionary Computation, Evolutionary Algorithm, Genetic Algorithm, Swarm Intelligence, Particle Swarm Optimization

IJBTT

Evolutionary Computation Techniques Based Optimal PID Controller Tuning