Although classical model predictive control with finite control sets (FCS-MPC) is quite a popular control method, particularly in the realm of power electronics systems, its direct data-driven predictive control (FCS-DPC) counterpart has received relatively limited attention. In this paper, we introduce a novel reformulation of a commonly used DPC scheme that allows for the application of a modified sphere decoding algorithm, known for its efficiency and prominence in FCS-MPC applications. We test the reformulation on a popular electrical drive example and compare the computation times of sphere decoding FCS-DPC with an enumeration-based and a MIQP method.
@article{arxiv.2404.02727,
title = {Extending direct data-driven predictive control towards systems with finite control sets},
author = {Manuel Klädtke and Moritz Schulze Darup and Daniel E. Quevedo},
journal= {arXiv preprint arXiv:2404.02727},
year = {2025}
}
Comments
This paper is a preprint of a contribution to the 22nd European Control Conference 2024. 7 pages, 1 figure