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

Ilhan, Z.O.; Boyer. M.D.; Schuster, E.
Issue date: March 2019
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.
@electronic{ilhan_zo_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
}
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 recently developed to perform feedback control design and simulation in TRANSP.

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