24 citations · 30 across the 6 of their papers we have counts for
6 papers
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…
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…
Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
Allen M. Wang, Alessandro Pau, Cristina Rea +12
The rampdown phase of a tokamak pulse is difficult to simulate and often exacerbates multiple plasma instabilities. To reduce the risk of disrupting operations, we leverage advance…
Towards practical reinforcement learning for tokamak magnetic control
Brendan D. Tracey, Andrea Michi, Yuri Chervonyi +15
Reinforcement learning (RL) has shown promising results for real-time control systems, including the domain of plasma magnetic control. However, there are still significant drawbac…
Latest results on quiescent and post-disruption runaway electron mitigation experiments at Frascati Tokamak Upgrade
D. Carnevale, P. Buratti, M. Baruzzo +38
Results from the last FTU campaigns on the deuterium large (wrt FTU volume) pellet REs suppression capability, mainly due to the induced burst MHD activity expelling REs seed are p…
Integrated real-time supervisory management for off-normal-event handling and feedback control of tokamak plasmas
T. Vu, F. Felici, C. Galperti +7
For long-pulse tokamaks, one of the main challenges in control strategy is to simultaneously reach multiple control objectives and to robustly handle in real-time (RT) unexpected e…