arXiv Open Access 2024

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

Manuel Klädtke Moritz Schulze Darup Daniel E. Quevedo

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Abstrak

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.

Topik & Kata Kunci

eess.SY math.OC

Penulis (3)

Manuel Klädtke

Moritz Schulze Darup

Daniel E. Quevedo

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APA MLA BibTeX

Klädtke, M., Darup, M.S., Quevedo, D.E. (2024). Extending direct data-driven predictive control towards systems with finite control sets. https://arxiv.org/abs/2404.02727

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓