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Title: Current State of DIII-D Plasma Control System

Abstract

We present that the DIII-D Plasma Control System (PCS) is a comprehensive software and hardware system used in real-time data acquisition and feedback control of numerous actuators on the DIII-D tokamak. It regulates many plasma characteristics including shape, position, divertor function, and core performance. The custom software developed at DIII-D provides an expandable platform from which new control algorithms can be incorporated. PCS has been expanding with the needs of the DIII-D research program, national, and international institutions that have adapted the PCS for use on their devices. The DIII-D PCS group in collaboration with many national and international groups have been instrumental in steadily improving the effectiveness and capability of the system. Lastly, enhancements on two key areas have been made: computer infrastructure upgrades and real time diagnostics control.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [2];  [2];  [3]
  1. General Atomics, San Diego, CA (United States)
  2. Columbia Univ., New York, NY (United States)
  3. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Plasma Science and Fusion Center (PSFC)
Publication Date:
Research Org.:
General Atomics, San Diego, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Fusion Energy Sciences (FES)
OSTI Identifier:
1597684
Alternate Identifier(s):
OSTI ID: 1698142
Grant/Contract Number:  
FC02-04ER54698; SC0010685; DESC0010685
Resource Type:
Accepted Manuscript
Journal Name:
Fusion Engineering and Design
Additional Journal Information:
Journal Volume: 150; Journal Issue: C; Journal ID: ISSN 0920-3796
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; DIII-D; Plasma Control System; Algorithm; GPU

Citation Formats

Margo, M., Penaflor, B., Shen, H., Ferron, J., Piglowski, D., Nguyen, P., Rauch, J., Clement, M., Battey, A., and Rea, C. Current State of DIII-D Plasma Control System. United States: N. p., 2019. Web. doi:10.1016/j.fusengdes.2019.111368.
Margo, M., Penaflor, B., Shen, H., Ferron, J., Piglowski, D., Nguyen, P., Rauch, J., Clement, M., Battey, A., & Rea, C. Current State of DIII-D Plasma Control System. United States. https://doi.org/10.1016/j.fusengdes.2019.111368
Margo, M., Penaflor, B., Shen, H., Ferron, J., Piglowski, D., Nguyen, P., Rauch, J., Clement, M., Battey, A., and Rea, C. Wed . "Current State of DIII-D Plasma Control System". United States. https://doi.org/10.1016/j.fusengdes.2019.111368. https://www.osti.gov/servlets/purl/1597684.
@article{osti_1597684,
title = {Current State of DIII-D Plasma Control System},
author = {Margo, M. and Penaflor, B. and Shen, H. and Ferron, J. and Piglowski, D. and Nguyen, P. and Rauch, J. and Clement, M. and Battey, A. and Rea, C.},
abstractNote = {We present that the DIII-D Plasma Control System (PCS) is a comprehensive software and hardware system used in real-time data acquisition and feedback control of numerous actuators on the DIII-D tokamak. It regulates many plasma characteristics including shape, position, divertor function, and core performance. The custom software developed at DIII-D provides an expandable platform from which new control algorithms can be incorporated. PCS has been expanding with the needs of the DIII-D research program, national, and international institutions that have adapted the PCS for use on their devices. The DIII-D PCS group in collaboration with many national and international groups have been instrumental in steadily improving the effectiveness and capability of the system. Lastly, enhancements on two key areas have been made: computer infrastructure upgrades and real time diagnostics control.},
doi = {10.1016/j.fusengdes.2019.111368},
journal = {Fusion Engineering and Design},
number = C,
volume = 150,
place = {United States},
year = {Wed Nov 13 00:00:00 EST 2019},
month = {Wed Nov 13 00:00:00 EST 2019}
}

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Cited by: 1 work
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Works referenced in this record:

Super H-mode: theoretical prediction and initial observations of a new high performance regime for tokamak operation
journal, July 2015


A real-time machine learning-based disruption predictor in DIII-D
journal, July 2019


TokSearch: A search engine for fusion experimental data
journal, April 2018