FPGA acceleration of Model Predictive Control for Iter Plasma current and shape control
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.
Cite
@article{arxiv.1806.06749,
title = {FPGA acceleration of Model Predictive Control for Iter Plasma current and shape control},
author = {Samo Gerkšič and Boštjan Pregelj and Matija Perne},
journal= {arXiv preprint arXiv:1806.06749},
year = {2018}
}
Comments
21st IEEE Real Time Conference, Colonial Williamsburg, 9-15 June 2018, Woodlands Conference Center, Poster1 518