Physics-model-based nonlinear actuator trajectory optimization and safety factor profile feedback control for advanced scenario development in DIII-D
J.E. Barton, M.D. Boyer, W. Shi, W.P. Wehner, E. Schuster, J.R. Ferron, M.L. Walker, D.A. Humphreys, T.C. Luce, F. Turco, B.G. Penaflor and R.D. Johnson
Nuclear Fusion 55 (2015) 093005 (20pp)
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Abstract
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DIII-D experimental results are reported to demonstrate the potential of physics-model-based safety factor profile control for robust and
reproducible sustainment of advanced scenarios. In the absence of feedback control, variability in wall conditions and plasma impurities,
as well as drifts due to external disturbances, can limit the reproducibility of discharges with simple pre- programmed scenario trajectories.
The control architecture utilized is a feedforward + feedback scheme where the feedforward commands are computed off-line and the feedback
commands are computed on-line. In this work, a first-principles-driven (FPD), physics-based model of the q profile and normalized beta dynamics
is first embedded into a numerical optimization algorithm to design feedforward actuator trajectories that steer the plasma through the tokamak
operating space to reach a desired stationary target state that is characterized by the achieved q profile and normalized beta. Good agreement
between experimental results and simulations demonstrates the accuracy of the models employed for physics-model-based control design. Second,
a feedback algorithm for q profile control is designed following an FPD approach, and the ability of the controller to achieve and maintain a
target q profile evolution is tested in DIII-D high confinement (H-mode) experiments. The controller is shown to be able to effectively control
the q profile when the normalized beta is relatively close to the target, indicating the need for integrated q profile and normalized beta control
to further enhance the ability to achieve robust scenario execution. The ability of an integrated q profile + normalized beta feedback controller
to track a desired target is demonstrated through simulation.
