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Title: TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade

Abstract

Active control of the toroidal current density profile is critical for the upgraded National Spherical Torus eXperiment device (NSTX-U) to maintain operation at the desired high-performance, MHD-stable, plasma regime. Initial efforts towards current density profile control have led to the development of a control-oriented, physics-based, plasma-response model, which combines the magnetic diffusion equation with empirical correlations for the kinetic profiles and the non-inductive current sources. The developed control-oriented model has been successfully tailored to the NSTX-U geometry and actuators. Moreover, a series of efforts have been made towards the design of model-based controllers, including a linear-quadratic-integral optimal control strategy that can regulate the current density profile around a prescribed target profile while rejecting disturbances. In this work, the tracking performance of the proposed current-profile optimal controller is tested in numerical simulations based on the physics-oriented code TRANSP. Furthermore, these high-fidelity closed-loop simulations, which are a critical step before experimental implementation and testing, are enabled by a flexible framework recently developed to perform feedback control design and simulation in TRANSP.

Authors:
 [1];  [2]; ORCiD logo [1]
  1. Lehigh Univ., Bethlehem, PA (United States)
  2. Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Publication Date:
Research Org.:
Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1503680
Grant/Contract Number:  
AC02-09CH11466
Resource Type:
Accepted Manuscript
Journal Name:
Fusion Engineering and Design
Additional Journal Information:
Journal Name: Fusion Engineering and Design; Journal ID: ISSN 0920-3796
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; Plasma control; Current profile control; Model-based control; Optimal control; TRANSP-based simulation

Citation Formats

Ilhan, Zeki O., Boyer, Mark D., and Schuster, Eugenio. TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade. United States: N. p., 2019. Web. doi:10.1016/j.fusengdes.2019.01.021.
Ilhan, Zeki O., Boyer, Mark D., & Schuster, Eugenio. TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade. United States. doi:10.1016/j.fusengdes.2019.01.021.
Ilhan, Zeki O., Boyer, Mark D., and Schuster, Eugenio. Tue . "TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade". United States. doi:10.1016/j.fusengdes.2019.01.021.
@article{osti_1503680,
title = {TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade},
author = {Ilhan, Zeki O. and Boyer, Mark D. and Schuster, Eugenio},
abstractNote = {Active control of the toroidal current density profile is critical for the upgraded National Spherical Torus eXperiment device (NSTX-U) to maintain operation at the desired high-performance, MHD-stable, plasma regime. Initial efforts towards current density profile control have led to the development of a control-oriented, physics-based, plasma-response model, which combines the magnetic diffusion equation with empirical correlations for the kinetic profiles and the non-inductive current sources. The developed control-oriented model has been successfully tailored to the NSTX-U geometry and actuators. Moreover, a series of efforts have been made towards the design of model-based controllers, including a linear-quadratic-integral optimal control strategy that can regulate the current density profile around a prescribed target profile while rejecting disturbances. In this work, the tracking performance of the proposed current-profile optimal controller is tested in numerical simulations based on the physics-oriented code TRANSP. Furthermore, these high-fidelity closed-loop simulations, which are a critical step before experimental implementation and testing, are enabled by a flexible framework recently developed to perform feedback control design and simulation in TRANSP.},
doi = {10.1016/j.fusengdes.2019.01.021},
journal = {Fusion Engineering and Design},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {2}
}

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This content will become publicly available on February 19, 2020
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