Optimal tuning of PID controllers using Artificial Bee Colony algorithm

In this paper, an efficient method based on Artificial Bee Colony (ABC) metaheuristic is implemented for tuning PID controllers. Considering performance indices presented in the literature, benchmark plants of different orders and time delays are controlled by PID controllers with optimum gains. Results clearly demonstrate that the employed method has outperformed other techniques such as fuzzy modeling and genetic algorithm resulting in designs with minimum error, overshoot and settling time.