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

Ilhan, Z. O.; Boyer, M. D. ; Schuster, E.
Issue date: 2019
Rights:
Creative Commons Attribution 4.0 International (CC BY)
Cite as:
Ilhan, Z. O., Boyer, M. D., & Schuster, E. (2019). TRANSP-based closed-loop simulations of current profile optimal regulation in NSTX-Upgrade [Data set]. Princeton Plasma Physics Laboratory, Princeton University. https://doi.org/10.11578/1562086
@electronic{ilhan_z_o_2019,
  author      = {Ilhan, Z. O. and
                Boyer, M. D. and
                Schuster, E.},
  title       = {{TRANSP-based closed-loop simulations of
                current profile optimal regulation in NS
                TX-Upgrade}},
  publisher   = {{Princeton Plasma Physics Laboratory, Pri
                nceton University}},
  year        = 2019,
  url         = {https://doi.org/10.11578/1562086}
}
Description:

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 recently developed to perform feedback control design and simulation in TRANSP.

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# Filename Filesize
1 README.txt 2.39 KB
2 ARK_DATA.zip 81.6 KB