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 …

Simultaneous control of safety factor profile and normalized beta for JT-60SA using reinforcement learning

T Wakatsuki, M Yoshida, E Narita, T Suzuki… - Nuclear …, 2023 - iopscience.iop.org
Plasma with an internal transport barrier (ITB) will be developed in JT-60SA as an attractive
operation appropriate for a steady-state fusion reactor. To achieve the ITB plasma while …

A robust LQR-FOPIλDµ controller design for output voltage regulation of stand-alone self-excited induction generator

H Calgan, M Demirtas - Electric Power Systems Research, 2021 - Elsevier
This paper presents several optimal controllers compared with a robust control method for
the terminal voltage regulation of a stand-alone self-excited induction generator (SEIG) with …

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) …

A comprehensive evaluation of the vibration control approach of the multi-layer sandwich composite piezoelectric micro-beam using higher-order elasticity theory and …

M Soltani, JJ Fesharaki, SA Galehdari, RT Esfahani… - Structures, 2024 - Elsevier
The present study is devoted to investigate the comprehensive study of vibration control of
multi-layer sandwich micro beam made of piezoelectric materials. The analysis considers …

Enhancing deep reinforcement learning with integral action to control tokamak safety factor

A Mattioni, S Zoboli, B Mavkov, D Astolfi… - Fusion Engineering and …, 2023 - Elsevier
Recent advances in the use of Artificial Intelligence to control complex systems make it
suitable for profile plasma control. In this work, we propose an algorithm based on Deep …

Profile control simulations and experiments on TCV: a controller test environment and results using a model-based predictive controller

E Maljaars, F Felici, TC Blanken, C Galperti… - Nuclear …, 2017 - iopscience.iop.org
The successful performance of a model predictive profile controller is demonstrated in
simulations and experiments on the TCV tokamak, employing a profile controller test …

A general infrastructure for data-driven control design and implementation in tokamaks

J Abbate, R Conlin, R Shousha, K Erickson… - Journal of Plasma …, 2023 - cambridge.org
A general infrastructure for tokamak controllers based on data-driven neural net models is
presented. The paradigm allows for more flexible choices of both the underlying model and …

Physics-based control-oriented modeling of the safety factor profile dynamics in high performance tokamak plasmas

JE Barton, W Shi, K Besseghir, J Lister… - … IEEE Conference on …, 2013 - ieeexplore.ieee.org
The tokamak is a device that utilizes magnetic fields to confine a reactant gas to generate
energy from nuclear fusion reactions. The next step towards the realization of a tokamak …

Backstepping control of the toroidal plasma current profile in the DIII-D tokamak

MD Boyer, J Barton, E Schuster… - … on Control Systems …, 2014 - ieeexplore.ieee.org
One of the most promising devices for realizing power production through nuclear fusion is
the tokamak. To maximize performance, it is preferable that tokamak reactors achieve …