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

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.
 [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:
Grant/Contract Number:
FC02-04ER54698; FG02-04ER54761
Accepted Manuscript
Journal Name:
Control Engineering Practice
Additional Journal Information:
Journal Volume: 68; Journal Issue: C; Journal ID: ISSN 0967-0661
Research Org:
U.S. Dept. of Energy (United States)
Sponsoring Org:
USDOE Office of Nuclear Energy (NE)
Country of Publication:
United States
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; 97 MATHEMATICS AND COMPUTING; Optimal control; LQG control; GPU computing; Tokamaks; Nuclear fusion; Plasma physics; Magnetohyrodynamics; Plasma control
OSTI Identifier: