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A Fully Analog Implementation of Model Predictive Control with Application to Buck Converters

Simone Pirrera, Lorenzo Calogero, Francesco Gabriele, Diego Regruto, Alessandro Rizzo, Gianluca Setti

Year
2025
Access
Open access

Abstract

This paper proposes a novel approach to design analog electronic circuits that implement Model Predictive Control (MPC) policies for dynamical systems described by affine models. Effective approaches to define a reduced-complexity Explicit MPC form are combined and applied to realize an analog circuit comprising a limited set of low-latency, commercially available components. The practical feasibility and effectiveness of the proposed approach are demonstrated through its application in the design of a novel MPC-based controller for DC-DC Buck converters. We formally analyze the stability of the resulting system and conduct extensive numerical simulations to demonstrate the control system's performance in rejecting line and load disturbances.

Keywords

eess.SY

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