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Electrical Engineering and Systems Science > Systems and Control

arXiv:2404.02727 (eess)
[Submitted on 3 Apr 2024]

Title:Extending direct data-driven predictive control towards systems with finite control sets

Authors:Manuel Klädtke, Moritz Schulze Darup, Daniel E. Quevedo
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Abstract: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.
Comments: This paper is a preprint of a contribution to the 22nd European Control Conference 2024. 7 pages, 1 figure
Subjects: Systems and Control (eess.SY); Optimization and Control (math.OC)
Cite as: arXiv:2404.02727 [eess.SY]
  (or arXiv:2404.02727v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2404.02727

Submission history

From: Manuel Klädtke [view email]
[v1] Wed, 3 Apr 2024 13:28:28 UTC (40 KB)
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