
Avoiding fusion plasma tearing instability with deep reinforcement learning
Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ USA · Department of Physics, Chung-Ang University, Seoul, South Korea · Princeton Plasma Physics Laboratory, Princeton, NJ USA · Department of Astrophysical Sciences, Princeton University, Princeton, NJ USADepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ USA
- Department of Physics, Chung-Ang University, Seoul, South Korea
- Princeton Plasma Physics Laboratory, Princeton, NJ USA
- Department of Astrophysical Sciences, Princeton University, Princeton, NJ USA
Summary: A reinforcement-learning controller learns to steer a fusion plasma away from a disruptive instability. Tests on a working tokamak show how predictive control can help sustain promising plasma conditions. The experiment does not demonstrate commercial fusion electricity.
