Simulation Modelling Based Control of An Interleaved Boost Converter Fed Induction Motor Using PSO Algorithm

Abstract: In this proposed system the interleaved boost converter (IBC) and the induction motor is controlled by using particle swarm optimization (PSO) algorithm. This topology increases the efficiency of the IM drive and reduces the current stresses of the switching devices. Ripple cancellation network used in the boost converter cancels the ripple components in the output which is produced due to the switching of the devices. The PSO algorithm is an iterative method of accelerating the particle towards its best point to control the quality of the speed with the use of this method Total harmonic Distortion (THD) value of the converter is reduced and the efficiency is increased. The performance of the proposed system and drive efficiency is verified by simulation results.

Keywords: Interleaved Boost Converter (IBC), Particle Swarm Optimization (PSO), and Ripple Cancellation Network (RCN), induction Motor.