Mitigation of Harmonics Content in PWM ac Chopper using Particle Swarm Optimization (PSO) and Implementation on Artificial Neural Network

摘要

This paper describes a technique for mitigating harmonics content in PWM ac Chopper by selecting proper k pulses per half cycle. Optimum performance has been achieved using PSO technique. Training instances have been obtained using PSO and ANN has been trained to give switching angles for getting desired fundamental ac voltages.