Study of three different optimization algorithms to calculate the optimal switching angles for the SHEPWM modulation method

Selective harmonic elimination pulse width modulation (SHEPWM) is a popular modulation strategy that controls DC/AC converters. It is a powerful technic because of its ability to eliminate undesired harmonics and work on low switching frequency which increases the lifespan of the switching devices, lowers the switching losses, and also provides a high output quality voltage. The main objective of this paper is to study three optimization algorithms genetic algorithm, generalized pattern search, and particle swarm optimization for how they improve the SHEPWM method to produce a better output quality voltage with eliminated harmonics by calculating different sets of the switching angles. The results of this study are validated on a five and seven-level Cascaded
$\mathrm{H}$
-bridge inverter.