Performance Analysis of Genetic Algorithm and Ant Colony Optimization Dependent on PID Controller for Matrix Converter

Abstract

This study provides a comparison between two widely used optimization approaches, namely, ant colony optimization (ACO) and genetic algorithm (GA) for optimal control approach for PID controller is developed for direct matrix converter (MC). Fixed voltage magnitude and frequency are converted to variable voltage magnitude and frequency by the suggested system. The PID controller is evaluated to control and improve the matrix converter's efficiency. The duty cycles are evaluated utilizing the modified Venturini approach for the greatest voltage transformation ratio of the matrix converter. The outcomes show that using a genetic algorithm to pick the optimum design of the PID controller offers many merits compared to ant colony optimization in terms of lessening the overshoot and settling times.