Implementation of a Long-Horizon Model Predictive Control Algorithm on an Embedded System

Eyke Liegmann, Petros Karamanakos, Ralph Kennel

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

This paper deals with the implementation of a long-horizon finite control set model predictive control (FCS-MPC) algorithm on an embedded system. The targeted application is a medium voltage drive system implying a very low switching frequency. The implementation is facilitated by the use of a high level synthesis (HLS) tool, which synthesizes C++ code into VHDL, enabling a higher level of abstraction and faster prototype development. Experimental results based on a small-scale prototype, consisting of a three-level neutral point clamped (NPC) inverter and an induction machine, confirm that the algorithm can be executed in real time within the targeted control period of 25μs. This allows for high switching granularity, and thus favorable steady-state and transient performance.

OriginalspracheEnglisch
Titel2021 23rd European Conference on Power Electronics and Applications, EPE 2021 ECCE Europe
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9789075815375
PublikationsstatusVeröffentlicht - 6 Sept. 2021
Veranstaltung23rd European Conference on Power Electronics and Applications, EPE 2021 ECCE Europe - Ghent, Belgien
Dauer: 6 Sept. 202110 Sept. 2021

Publikationsreihe

Name2021 23rd European Conference on Power Electronics and Applications, EPE 2021 ECCE Europe

Konferenz

Konferenz23rd European Conference on Power Electronics and Applications, EPE 2021 ECCE Europe
Land/GebietBelgien
OrtGhent
Zeitraum6/09/2110/09/21

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