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Title: GPU-based optimal control for RWM feedback in tokamaks

Abstract

The design and implementation of a Graphics Processing Unit (GPU) based Resistive Wall Mode (RWM) controller to perform feedback control on the RWM using Linear Quadratic Gaussian (LQG) control is reported herein. Also, the control algorithm is based on a simplified DIII-D VALEN model. By using NVIDIA’s GPUDirect RDMA framework, the digitizer and output module are able to write and read directly to and from GPU memory, eliminating memory transfers between host and GPU. In conclusion, the system and algorithm was able to reduce plasma response excited by externally applied fields by 32% during development experiments.

Authors:
 [1];  [2];  [2];  [2]
  1. University of California, San Diego, La Jolla, CA (United States). Mechanical and Aerospace Engineering
  2. Columbia University, New York, NY (United States). Department of Applied Physics and Math
Publication Date:
Research Org.:
U.S. Dept. of Energy (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1395276
Grant/Contract Number:  
FC02-04ER54698; FG02-04ER54761
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Control Engineering Practice
Additional Journal Information:
Journal Volume: 68; Journal Issue: C; Journal ID: ISSN 0967-0661
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; 97 MATHEMATICS AND COMPUTING; Optimal control; LQG control; GPU computing; Tokamaks; Nuclear fusion; Plasma physics; Magnetohyrodynamics; Plasma control

Citation Formats

Clement, Mitchell, Hanson, Jeremy, Bialek, Jim, and Navratil, Gerald. GPU-based optimal control for RWM feedback in tokamaks. United States: N. p., 2017. Web. doi:10.1016/j.conengprac.2017.08.002.
Clement, Mitchell, Hanson, Jeremy, Bialek, Jim, & Navratil, Gerald. GPU-based optimal control for RWM feedback in tokamaks. United States. doi:10.1016/j.conengprac.2017.08.002.
Clement, Mitchell, Hanson, Jeremy, Bialek, Jim, and Navratil, Gerald. Wed . "GPU-based optimal control for RWM feedback in tokamaks". United States. doi:10.1016/j.conengprac.2017.08.002. https://www.osti.gov/servlets/purl/1395276.
@article{osti_1395276,
title = {GPU-based optimal control for RWM feedback in tokamaks},
author = {Clement, Mitchell and Hanson, Jeremy and Bialek, Jim and Navratil, Gerald},
abstractNote = {The design and implementation of a Graphics Processing Unit (GPU) based Resistive Wall Mode (RWM) controller to perform feedback control on the RWM using Linear Quadratic Gaussian (LQG) control is reported herein. Also, the control algorithm is based on a simplified DIII-D VALEN model. By using NVIDIA’s GPUDirect RDMA framework, the digitizer and output module are able to write and read directly to and from GPU memory, eliminating memory transfers between host and GPU. In conclusion, the system and algorithm was able to reduce plasma response excited by externally applied fields by 32% during development experiments.},
doi = {10.1016/j.conengprac.2017.08.002},
journal = {Control Engineering Practice},
issn = {0967-0661},
number = C,
volume = 68,
place = {United States},
year = {2017},
month = {8}
}

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Works referencing / citing this record:

$\mathscr{H}_2$ optimal control techniques for resistive wall mode feedback in tokamaks
journal, February 2018