Optimal tuning Of PID controller using Meta heuristic algorithms

Abstract

Several tuning methods have been proposed for optimal tuning of PID controller. Most popular among them has been Swarm Intelligence Algorithms also known as Meta-heuristic algorithms, which have the features of easy implementation, short execution time and robust mechanism of escaping from local optimum, is a promising tool for engineering applications. In this paper a tuning method for determining the parameters of PID controller for a system using an ABC optimization algorithm is proposed. Artificial bee colony algorithm has been proved one of the best recently proposed swarm intelligence based tuning algorithm. This algorithm of artificial bee colony optimization is proposed for numerical global optimization. ABC mimics the intelligent foraging behavior of honey bees. Here, ABC is used to optimize the parameters of PID controller used for tuning the system and the results produced by ABC algorithm are compared with the results obtained by particle swarm optimization algorithm, Bacteria Foraging Algorithm.