Publications by Cristian Galperti

Simulation validation of an Extremum Seeking-based Vertical Stabilization system for TCV

Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Cristian Galperti, Stefano Marchioni

This paper presents a preliminary assessment of the Extremum Seeking-based Vertical Stabilization system originally proposed in Dubbioso et al. (2022), in view of possible deployment on the TCV tokamak. The control algorithm has been modified to adapt it t ...

2025

Design and implementation of a model-based hierarchical architecture for plasma shape control in the TCV tokamak

Olivier Sauter, Stefano Coda, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Cristian Galperti

Plasma shape control is a fundamental tool for effective tokamak operation, allowing improved plasma performance and the pursuit of challenging scientific objectives. In this framework, the Tokamak á Configuration Variable (TCV) of the École Polytechnique ...

IOP Publishing2025

Implementation of an Iter-relevant Qp-based Current Limit Avoidance Algorithm in the Tcv Tokamak

Stefano Coda, Cristian Galperti

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 control of the plasma may lead to a major disruption. Therefore, a current limi ...

IOP Publishing Ltd2025

A distributed real-time diagnostic and control network for the TCV tokamak based on the Data Distribution Service

Cristian Galperti

A novel communication network is being implemented on the machines composing the Système de Contrôle Distribué (SCD) that form the real-time architecture of the Tokamak à Configuration Variable (TCV), exploiting the capabilities of the Data Distribution Se ...

2025

Effect of energetic ions on edge-localized modes in tokamak plasmas

Olivier Sauter, Stefano Coda, Timothy Goodman, Jean-Marc Moret, Duccio Testa, Patrick Blanchard, Holger Reimerdes, Benoît Labit, Christian Gabriel Theiler, Federico Alberto Alfredo Felici

The most efficient and promising operational regime for the International Thermonuclear Experimental Reactor tokamak is the high-confinement mode. In this regime, however, periodic relaxations of the plasma edge can occur. These edge-localized modes pose a ...

2025

Automated shot-to-shot optimization of the plasma start-up scenario in the TCV tokamak

Basil Duval, Stefano Coda, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Cristian Galperti, Artur Perek, Pedro Andres Molina Cabrera, Curdin Tobias Wüthrich

Plasma start-up is typically achieved manipulating poloidal magnetic fields, gas injection and possibly auxiliary heating. Model-based design techniques have been gaining increasing attention in view of future large tokamaks which have more stringent const ...

IOP Publishing Ltd2024

Experimental research on the TCV tokamak

Olivier Sauter, Ambrogio Fasoli, Stefano Coda, Timothy Goodman, Yves Martin, Stefano Alberti, Ivo Furno, Duccio Testa, Patrick Blanchard, Holger Reimerdes

Tokamak à configuration variable (TCV), recently celebrating 30 years of near-continual operation, continues in its missions to advance outstanding key physics and operational scenario issues for ITER and the design of future power plants such as DEMO. The ...

IOP Publishing Ltd2024

Overview of the EUROfusion Tokamak Exploitation programme in support of ITER and DEMO

Olivier Sauter, Basil Duval, Stefano Coda, Timothy Goodman, Jean-Marc Moret, Duccio Testa, Patrick Blanchard, Holger Reimerdes, Benoît Labit, Christian Gabriel Theiler

Within the 9th European Framework programme, since 2021 EUROfusion is operating five tokamaks under the auspices of a single Task Force called ‘Tokamak Exploitation’. The goal is to benefit from the complementary capabilities of each machine in a coordinat ...

IOP Publishing Ltd2024

Design of a novel plasma shape controller for the TCV tokamak

Olivier Sauter, Stefano Coda, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Cristian Galperti

Tokamaks are experimental nuclear fusion reactors that exploit magnetic-field-generating coils to confine a plasma. In these devices, plasma shape control is crucial to achieving high performance and pursuing challenging scientific objectives. With its lar ...

Institute of Electrical and Electronics Engineers Inc.2024

Towards practical reinforcement learning for tokamak magnetic control

Federico Alberto Alfredo Felici, Cristian Galperti, Jonas Buchli, Brendan Tracey

Reinforcement learning (RL) has shown promising results for real-time control systems, including the domain of plasma magnetic control. However, there are still significant drawbacks compared to traditional feedback control approaches for magnetic confinem ...

Elsevier Science Sa2024