Evaluation of a particle swarm optimization controller for dc-dc boost converters

Particle swarm optimization has been used as a tuning algorithm for dc-dc converter controllers. In this work it is proposed a novel approach where the PSO is used as the controller itself for a dc-dc boost converter. The PSO controller uses a population of particles to achieve the necessary compensation to stabilize the output at reference voltage. The algorithm uses the gain formula to reposition the particles near the required position, to stabilize the output at reference voltage, according to the disturbances in the converter. Simulations have been carried on in order to observe the controller´s response to changes in reference voltage and in load variance.