Guidelines for the Design of Finite Control Set Model Predictive Controllers
By Petros P. Karamanakos, Tobias Geyer. IEEE transactions on power electronics, 2020
474 citations recorded by the source corpus.
Direct model predictive control (MPC) with reference tracking, also referred to as finite control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the academic community. Thanks to its applicability to a wide range of power electronic systems, it is considered a promising control method for such systems. However, to simplify the design, researchers frequently make choices that—often unknowingly—reduce the system performance. In this article, we discuss and analyze the factors that affect the closed-loop performance of FCS-MPC. Based on these findings, design guidelines are provided that help to maximize the system performance. To highlight the performance benefits, two case studies will be considered: the first one consists of a two-level converter and an induction machine, whereas the second one adds an $LC$ filter between the converter and the machine.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/06ce29f719d72de7d403bcdce2fae0c8749bb01a
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In Control and Systems Engineering
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Citations in the corpus
- Interleaved Model Predictive Control for Three-Level Neutral-Point-Clamped Dual Three-Phase PMSM Drives With Low Switching Frequencies (2021, background): “In [13], the factors affecting the performance of FCS-MPC have been discussed and analyzed comprehensively, and guidelines are provided to improve the control performance.”