Fast-Response Variable-Frequency Series-Capacitor Buck VRM Through Integrated Control Approaches
Guanyu Qian, Haoxian Yan, Xiaofan Cui

TL;DR
This paper presents an integrated control scheme for variable-frequency Series-Capacitor Buck VRMs, achieving rapid voltage regulation suitable for AI workloads by combining linear and nonlinear controllers with advanced modeling and control strategies.
Contribution
It introduces a novel integrated control approach combining small-signal modeling, time-optimal control, and transition logic for fast voltage regulation in VRMs.
Findings
Achieves over ten times faster voltage recovery than linear control alone.
Demonstrates stable disturbance rejection with zero steady-state error.
Provides a comprehensive modeling framework for digital control design.
Abstract
Fast-response voltage regulation is essential for data-center Voltage Regulation Modules (VRMs) powering Artificial Intelligence (AI) workloads, which exhibit both small-amplitude fluctuations and abrupt full-load steps. This paper introduces a control scheme that integrates a linear controller and a nonlinear controller for variable-frequency Series-Capacitor Buck (SCB) converters. First, an accurate small-signal model is derived via a Switching-Synchronized Sampled State-Space (5S) framework, yielding discrete-time transfer functions and root-locus insights for direct digital design. A critical concern for SCB converters is series-capacitor oscillation during heavy load steps if the strict switching sequence is not maintained. To accelerate large-signal transients, a time-optimal control strategy based on Pontryagins Maximum Principle (PMP) relaxes the switching constraints to compute…
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