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

Ilhan, Z O; D, Boyer M; Schuster, E

doi:10.11578/1562086

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. These high-fidelity closed-loop simulations, which are a critical step before experimental implementation and testing, are enabled by a flexible framework recentlydeveloped to perform feedback control design and simulation in TRANSP.

Authors:: Ilhan, Z O; D, Boyer M; Schuster, E

Publication Date:: 2019-03-01

Research Org.:: Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)

Sponsoring Org.:: U. S. Department of Energy

Keywords:: NSTX-U; plasma control; current profile control

OSTI Identifier:: 1562086

DOI:: https://doi.org/10.11578/1562086

Citation Formats


                    Ilhan, Z O, D, Boyer M, and Schuster, E. TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade.  United States: N. p., 2019. 
        Web.  doi:10.11578/1562086.

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                    Ilhan, Z O, D, Boyer M, & Schuster, E. TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade.  United States.  doi:https://doi.org/10.11578/1562086

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                    Ilhan, Z O, D, Boyer M, and Schuster, E. 2019.  
"TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade".  United States.  doi:https://doi.org/10.11578/1562086.  https://www.osti.gov/servlets/purl/1562086. Pub date:Fri Mar 01 00:00:00 EST 2019

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@article{osti_1562086,

  title        = {TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade},

  author       = {Ilhan, Z O and D, Boyer M and Schuster, E},

  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. These high-fidelity closed-loop simulations, which are a critical step before experimental implementation and testing, are enabled by a flexible framework recentlydeveloped to perform feedback control design and simulation in TRANSP.},

  doi          = {10.11578/1562086},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2019},

  month        = {3}

}

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