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Real-time capable modeling of neutral beam injection on NSTX-U using neural networks
MD Boyer, S Kaye, K Erickson - Nuclear Fusion, 2019 - iopscience.iop.org
A new model of heating, current drive, torque and other effects of neutral beam injection on
NSTX-U that uses neural networks has been developed. The model has been trained and …
NSTX-U that uses neural networks has been developed. The model has been trained and …
Non-linear model-based optimization of actuator trajectories for tokamak plasma profile control
F Felici, O Sauter - Plasma Physics and Controlled Fusion, 2012 - iopscience.iop.org
A computational method is presented to determine the tokamak actuator time evolution
(trajectories) required to optimally reach a given point in the tokamak operating space while …
(trajectories) required to optimally reach a given point in the tokamak operating space while …
First-principles-driven model-based current profile control for the DIII-D tokamak via LQI optimal control
MD Boyer, J Barton, E Schuster, TC Luce… - Plasma Physics and …, 2013 - iopscience.iop.org
In tokamak fusion plasmas, control of the spatial distribution profile of the toroidal plasma
current plays an important role in realizing certain advanced operating scenarios. These …
current plays an important role in realizing certain advanced operating scenarios. These …
Control of the tokamak safety factor profile with time-varying constraints using MPC
A controller is designed for the tokamak safety factor profile that takes real-time-varying
operational and physics limits into account. This so-called model predictive controller (MPC) …
operational and physics limits into account. This so-called model predictive controller (MPC) …
Optimal Tracking for a Divergent‐Type Parabolic PDE System in Current Profile Control
We consider the optimal tracking problem for a divergent‐type parabolic PDE system, which
can be used to model the spatial‐temporal evolution of the magnetic diffusion process in a …
can be used to model the spatial‐temporal evolution of the magnetic diffusion process in a …
Machine learning-enhanced model-based scenario optimization for DIII-D
Scenario development in tokamaks is an open area of investigation that can be approached
in a variety of different ways. Experimental trial and error has been the traditional method …
in a variety of different ways. Experimental trial and error has been the traditional method …
Real-time control of tokamak plasmas: from control of physics to physics-based control
F Felici - 2011 - infoscience.epfl.ch
Stable, high-performance operation of a tokamak requires several plasma control problems
to be handled simultaneously. Moreover, the complex physics which governs the tokamak …
to be handled simultaneously. Moreover, the complex physics which governs the tokamak …
Toroidal current profile control during low confinement mode plasma discharges in DIII-D via first-principles-driven model-based robust control synthesis
JE Barton, MD Boyer, W Shi, E Schuster… - Nuclear …, 2012 - iopscience.iop.org
In order for ITER to be capable of operating in advanced tokamak operating regimes,
characterized by a high fusion gain, good plasma confinement, magnetohydrodynamic …
characterized by a high fusion gain, good plasma confinement, magnetohydrodynamic …
Prediction of electron density and pressure profile shapes on NSTX-U using neural networks
MD Boyer, J Chadwick - Nuclear Fusion, 2021 - iopscience.iop.org
A new model for prediction of electron density and pressure profile shapes on NSTX and
NSTX-U has been developed using neural networks. The model has been trained and …
NSTX-U has been developed using neural networks. The model has been trained and …
Physics-model-based nonlinear actuator trajectory optimization and safety factor profile feedback control for advanced scenario development in DIII-D
JE Barton, MD Boyer, W Shi, WP Wehner… - Nuclear …, 2015 - iopscience.iop.org
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 …
based safety factor profile control for robust and reproducible sustainment of advanced …