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This research has been partially funded by the project PID2022-137593OBI00, financed by the Spanish Ministry MCIN/AEI/10.13039/501100011033/FEDER, UE, and FSE+.

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Easy and Straightforward FPGA Implementation of Model Predictive Control Using HDL Coder

Publicado en:Electronics. 14 (3): 419- - 2025-02-01 14(3), DOI: 10.3390/electronics14030419

Autores: Purraji, Marziye; Zamiri, Elyas; de Castro, Angel

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Resumen

Model Predictive Control (MPC) is widely adopted for power electronics converters due to its ability to optimize system performance under dynamic constraints. However, its FPGA implementation remains challenging due to the complexity of Hardware Description Language (HDL) programming. This paper addresses this challenge by introducing a straightforward methodology that simplifies FPGA implementation using MATLAB R2022b Simulink HDL Coder. It is shown that HDL Coder yields favorable synthesis outcomes, both in terms of area and time, compared to hand-coded HDL. Notably, the proposed method achieves a significantly reduced sampling step for the MPC algorithm-down to 32 ns-marking a substantial improvement over state-of-the-art implementations. The Integrated Logic Analyzer (ILA) IP available in the Vivado tool is used during the HIL testing phase to facilitate the real-time observation and analysis required for debugging and confirming the FPGA-implemented controller performance. Additionally, this paper discusses the advantages of utilizing HDL Coder for simplifying the FPGA programming process in power electronics applications and addresses the design challenges encountered using this methodology.

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