Real-Time Implementation of Long-Horizon Direct Model Predictive Control on an Embedded System

This paper deals with the real-time 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 which means that operation at a very low switching frequency is needed so that the swi...

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Bibliographic Details
Published in:IEEE open journal of industry applications 2022, Vol.3, p.1-12
Main Authors: Liegmann, Eyke, Karamanakos, Petros, Kennel, Ralph
Format: Article
Language:English
Subjects:
Algorithms
Control systems
Decoding
Embedded systems
Field programmable gate array
Field programmable gate arrays
High level synthesis
Horizon
Induction motors
Inverters
model predictive control
multilevel converters
Predictive control
Prototypes
Real time
Real-time systems
Rotors
Stator windings
Switches
Switching
variable speed drive
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Summary:This paper deals with the real-time 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 which means that operation at a very low switching frequency is needed so that the switching power losses are kept relatively low. However, a small sampling interval is required to achieve a fine granularity of switching, and thus ensure superior system performance. This renders the real-time implementation of the controller challenging. To facilitate this, a high level synthesis (HLS) tool, which synthesizes C ++ code into VHDL, is employed to enable a higher level of abstraction and faster prototype development of the real-time solver of the long-horizon FCS-MPC problem, namely the sphere decoder. 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 25 \mus.
ISSN:2644-1241
2644-1241
DOI:10.1109/OJIA.2021.3133477