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physics.plasm-ph2026
An Inverse Grad-Shafranov Neural Network Approach to Tokamak Magnetic Control
Allen M. Wang, Adriano Mele, Cosmas Heiß +12
A new approach to tokamak magnetic control enabling high-precision plasma shaping and novel real-time adaptability is experimentally demonstrated on the Tokamak a Configuration Var…
physics.plasm-ph2025
First experimental demonstration of plasma shape control in a tokamak through Model Predictive Control
Adriano Mele, Maria A. Topalova, Cristian Galperti +3
In this work, a Model Predictive Controller (MPC) is proposed to control the plasma shape in the Tokamak à Configuration Variable (TCV). The proposed controller relies on models ob…
physics.plasm-ph2025
Implementation of an ITER-relevant QP-based Current Limit Avoidance algorithm in the TCV tokamak
D. Frattolillo, A. Mele, C. Galperti +11
The problem of avoiding saturation of the coil currents is critical in large tokamaks with superconducting coils like ITER. Indeed, if the current limits are reached, a loss of con…