Evolutionary Computation Techniques Based Optimal PID Controller Tuning
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : Sulochana Wadhwani , Veena Verma|
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.
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 .
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PID Tuning , Evolutionary Computation, Evolutionary Algorithm, Genetic Algorithm, Swarm Intelligence, Particle Swarm Optimization