Implementation of Particle Swarm Optimization for Model Order Reduction

Abstract

In this paper, Particle Swarm Optimization (PSO) technique has been discussed and reduction of the higher order model to a lower order model performed. The results are then compared to those produced using traditional methods. On the basis of step response specification, bode response specification, and performance indices, a comparison is made to demonstrate the superiority of the proposed model. The primary benefit of the proposed model is to offer reasonable accuracy in less time relative to other methods. Furthermore, the reduced model retains the time and frequency response characteristics of the original system.