A Review of Soft Computing Techniques for PID Controller Tuning

PID controllers are widely used in industrial plants because the structure of PID controller is very simple and its control principle is very clear [1]. It is practical and very easy to be implemented. Industrial processes are subjected to variation in parameters, which when significant makes the system unstable. So the control engineers are on look for automatic tuning procedures. In this paper, intelligent tuning techniques like Genetic algorithm (GA), Ant colony optimization (ACO) and particle swarm optimization (PSO) are analyzed. GA, EP and PSO based tuning methods have proved their excellence in giving better results by improving the steady state characteristics and performance indices. parameters to achieve good control performance with the proper choice of tuning constants.