Finite-word-length FPGA implementation of model predictive control for ITER resistive wall mode control
Autor: | Samo Gerkšič, Boštjan Pregelj |
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Rok vydání: | 2021 |
Předmět: |
Resistive touchscreen
Optimization problem Computer science Mechanical Engineering 37N35 49N10 93B45 Systems and Control (eess.SY) Kink instability Solver Electrical Engineering and Systems Science - Systems and Control 01 natural sciences 010305 fluids & plasmas Model predictive control Nuclear Energy and Engineering Control theory 0103 physical sciences Personal computer FOS: Electrical engineering electronic engineering information engineering General Materials Science Quadratic programming 010306 general physics Gradient method Civil and Structural Engineering |
Zdroj: | Fusion Engineering and Design. 169:112480 |
ISSN: | 0920-3796 |
Popis: | In advanced tokamak scenarios, active feedback control of unstable resistive wall modes (RWM) may be required. A RWM is an instability due to plasma kink at higher plasma pressure, moderated by the presence of a resistive wall surrounding the plasma. We address the dominant kink instability associated with the main non-axisymmetric (n = 1) RWM, described by the CarMa model. Model predictive control (MPC) is used, with the aim of enlarging the domain of attraction of the unstable RWM modes subject to power-supply voltage constraints. The implementation of MPC is challenging, because the related quadratic programming (QP) on-line optimization problems must be solved at a sub-ms sampling rate. Using complexity-reduction pre-processing techniques and a primal fast gradient method (FGM) QP solver, sufficiently short computation times for ITER are reachable using a standard personal computer (PC). In this work we explore even faster finite-word-length (FWL) implementation using field-programmable gate arrays (FPGA), which would facilitate experimental testing of such control algorithms on dynamically faster medium-sized tokamaks, and compare the computational accuracy and time with the PC implementation. |
Databáze: | OpenAIRE |
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