Switching Frequency Limitation With Finite Control Set Model Predictive Control via Slack Variables

Past work proposed an extension to finite control set model predictive control to simultaneously track both a current reference and a switching frequency reference. Such an objective can jeopardize the current tracking performance, and this can potentially be alleviated by instead limiting the switching frequency. To this end, we propose to limit the switching frequency in finite control set model predictive control. The switching frequency is captured with an infinite impulse response filter and bounded by an inequality constraint; its corresponding slack variable is penalized in the cost function. To solve the problem efficiently, a sphere decoder with a computational speed-up is presented.

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Publication Details

Journal
IEEE Transactions on Control Systems Technology
Published
2025-02-03
DOI
https://doi.org/10.1109/tcst.2025.3527876
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
2.43
Controls
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article

Switching Frequency Limitation With Finite Control Set Model Predictive Control via Slack Variables

Tinus Dorfling, Tobias Geyer, Orçun Karaca, Luca M. Hartmann
2 citations
IEEE Transactions on Control Systems Technology
Advanced Control Systems Optimization
2.43
article

Switching Frequency Limitation With Finite Control Set Model Predictive Control via Slack Variables

Tinus Dorfling, Tobias Geyer, Orçun Karaca, Luca M. Hartmann
article en
2 citations

Abstract

Past work proposed an extension to finite control set model predictive control to simultaneously track both a current reference and a switching frequency reference. Such an objective can jeopardize the current tracking performance, and this can potentially be alleviated by instead limiting the switching frequency. To this end, we propose to limit the switching frequency in finite control set model predictive control. The switching frequency is captured with an infinite impulse response filter and bounded by an inequality constraint; its corresponding slack variable is penalized in the cost function. To solve the problem efficiently, a sphere decoder with a computational speed-up is presented.

IEEE Transactions on Control Systems TechnologyVol. 33(3)
University of California San Diego (US), ABB (Switzerland) (CH)
Openalex Percentile: Top 14%
Advanced Control Systems Optimization
2.43
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