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 …

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 …

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 …

Control of the tokamak safety factor profile with time-varying constraints using MPC

E Maljaars, F Felici, MR De Baar, J Van Dongen… - Nuclear …, 2015 - iopscience.iop.org
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) …

Optimal Tracking for a Divergent‐Type Parabolic PDE System in Current Profile Control

S Li, H Jiang, Z Ren, C Xu - Abstract and Applied Analysis, 2014 - Wiley Online Library
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 …

Machine learning-enhanced model-based scenario optimization for DIII-D

S Morosohk, B Leard, T Rafiq, E Schuster - Nuclear Fusion, 2024 - iopscience.iop.org
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 …

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 …

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 …

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 …

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 …