Design of PID controller with auto tuned prefilter using chaotic optimization

Set point tracking and load disturbance rejection capability are the key performance measuring characteristics of most of control system. In this paper a control architecture consist of PID controller along with tunable prefilter has designed. Chaotic optimization which has computational efficiency along with global solution delivering capability has applied to explored the solution search space. Comparative analysis have made with Particle swarm optimization (PSO) and Ant colony optimization (ACO) based solutions available in recent literature for performances evaluation.