DC-DC Converters Optimization in Case of Large Variation in the Load

TL;DR

This paper presents a control method for DC-DC converters that maintains high quality regulation under large load variations, utilizing differential gain, second derivative control, and particle swarm optimization for PID tuning.

Contribution

It introduces a novel control approach combining differential gain, second derivative control, and stochastic optimization for improved load fluctuation handling in DC-DC converters.

Findings

Effective regulation during large load fluctuations

Optimized PID parameters via particle swarm optimization

Enhanced current balancing without control delay

Abstract

The method for controlling a DC-DC converter is proposed to ensures the high quality control at large fluctuations in load currents by using differential gain control coefficients and second derivative control. Various implementations of balancing the currents of a multiphase DC-DC converter are discussed, with a focus on achieving accurate current regulation without introducing additional delay in the control system. Stochastic particle swarm optimization method is used to find optimal values of the PID controller parameters. An automatic constraint-handling in optimization are also discussed as relevant techniques in the field.