Particle Swarm Optimization based robust controller for congestion avoidance in computer networks

This paper presents a design of a robust PI controller using Particle Swarm Optimization (PSO) method as an Active Queue Management (AQM) for congestion avoidance in computer networks. In this method the parameters of PI controller are tuned using PSO method subject to H-infinity constraints. The analytical results for linearized TCP/AQM model are presented using Matlab. The results show that a faster response time as well as the regulation of the output to a constant value by the designed controller can be achieved. Further, the designed controller provides good tracking performance under different circumstances for congestion avoidance in computer networks. Finally, a comparison with classical PI and Fuzzy PI based genetic algorithm controllers is presented.