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

TL;DR

The study addresses robust voltage regulation of multiphase DC-DC converters under large, fast load variations. It combines a differential gain control with a second-derivative compensation to achieve fast, overshoot-free responses, complemented by a simple phase-current balancing algorithm that avoids additional control delay. A detailed mathematical model using differential-algebraic equations is derived and analyzed, noting stability constraints via Rauss–Hurwitz criteria while acknowledging the challenges posed by switching discontinuities. Particle Swarm Optimization is employed to tune the PID parameters, achieving stable operation across load surges and varying rates. Together, these components yield a practical, low-delay control framework for reliable regulation of multiphase DC-DC converters in dynamic power environments.

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.

Figures (8)

• Figure 1: Classification of stability analysis methods thesis
• Figure 2: An idealized model of a DC-DC converter
• Figure 3: Voltage boosting started by voltage derivative threshold
• Figure 4: Phase currents with balancing algorithm
• Figure 5: Voltage boosting started by voltage derivative threshold.