6 papers
Dynamic Plasma Shape Control with Arbitrary Sensor Subsets
D. Sorokin, M. Stokolesov, A. Granovskiy +7
Plasma shape control in tokamaks requires a real-time controller that tracks dynamically changing shape targets while tolerating diagnostic failures. Classical approaches decompose…
Plasma Confinement State Classification in Fusion Power Plants: Profile Reflectometer and Ensemble Diagnostics
Randall Clark, Vacslav Glukhov, Georgy Subbotin +4
As Fusion Pilot Plants (FPPs) are increasingly viewed as within reach, many engineering challenges remain. Not many diagnostics are expected to be available in a reactor environmen…
Plasma Confinement State Classification via FPP Relevant Microwave Diagnostics
Randall Clark, Vacslav Glukhov, Georgy Subbotin +4
We present a parsimonious and robust machine learning approach for identifying plasma confinement states in fusion power plants (FPPs) where reliable identification of the low-conf…
Reconstruction-free magnetic control of DIII-D plasma with deep reinforcement learning
G. F. Subbotin, D. I. Sorokin, M. R. Nurgaliev +9
Precise control of plasma shape and position is essential for stable tokamak operation and achieving commercial fusion energy. Traditional control methods rely on equilibrium recon…
Electromagnetic System Conceptual Design for a Negative Triangularity Tokamak
Sophia Guizzo, Mikhail A. Drabinskiy, Christopher Hansen +7
Negative triangularity (NT) tokamak configurations have several key benefits including sufficient core confinement, improved power handling, and reduced edge pressure gradients tha…
Validation of NSFsim as a Grad-Shafranov Equilibrium Solver at DIII-D
Randall Clark, Maxim Nurgaliev, Eduard Khayrutdinov +3
Plasma shape is a significant factor that must be considered for any Fusion Pilot Plant (FPP) as it has significant consequences for plasma stability and core confinement. A new si…