FPGA acceleration of Model Predictive Control for Iter Plasma current and shape control

Samo Gerkšič; Boštjan Pregelj; Matija Perne

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arXiv · 1806.06749

FPGA acceleration of Model Predictive Control for Iter Plasma current and shape control

Samo Gerkšič·Boštjan Pregelj·Matija Perne

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Abstract

A faster implementation of the Quadratic Programming (QP) solver used in the Model Predictive Control scheme for Iter Plasma current and shape control was developed for Xilinx Field-Programmable Gate Array (FPGA) platforms using a high-level synthesis approach. The QP solver is based on the dual Fast Gradient Method (dFGM). The dFGM is essentially an iterative algorithm, where matrix-vector arithmetic operations within the main iteration loop may be parallelized. This type of parallelism is not well-suited to standard multi-core processors because the number of operations to be spread among processing threads is relatively small considering the time-scale of thread scheduling. The FPGA implementation avoids this issue, but it requires specific techniques of code optimization in order to achieve faster solver execution.

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BibTeX RIS

Samo Gerkšič, Boštjan Pregelj, Matija Perne. 2018-06-15. FPGA acceleration of Model Predictive Control for Iter Plasma current and shape control. https://arxiv.org/abs/1806.06749

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