Publications by Adriano Mele | EPFL Graph Search

Related publications (8)

Iterative learning optimization and control of MAST-U breakdown and early ramp-up scenarios

Federico Alberto Alfredo Felici, Adriano Mele

Plasma start-up is a crucial phase for tokamak operations and its design and optimization is getting more and more attention in view of the operation of future large tokamaks like ITER, where costs, risks and operational limits require more design tools. M ...

SPRINGER2025

Stabilization of nonlinear systems by neural Lyapunov approximators and Sontag's formula

Adriano Mele

This note describes a method to train a Neural Network so that it approximates a control Lyapunov function for a nonlinear system in affine form. The network is trained in a physics-informed fashion, as the training data are generated by enforcing the nega ...

Institute of Electrical and Electronics Engineers Inc.2024

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, Adriano Mele, Alessandro Tenaglia

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

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, Adriano Mele, Alessandro Tenaglia

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

An interpretable isoflux-based observer for plasma shape control errors in tokamaks

Stefano Coda, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Adriano Mele

In tokamaks, plasma shape control is often achieved through a so-called isoflux approach that regulates the poloidal flux differences between a reference point and a set of control points and magnetic field values at suitable locations to obtain the desire ...

Elsevier2024

Dynamic steady-state coil current allocation for plasma shape control: A study on the TCV tokamak

Stefano Coda, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Adriano Mele

This work addresses the input current allocation problem for the magnetic control system of the Tokamak à Configuration Variable (TCV). Given the available actuators (i.e. poloidal field coils) on the TCV device, this work aims to optimize the input curren ...

Institute of Electrical and Electronics Engineers Inc.2024

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

Stefano Coda, Cristian Galperti, Adriano Mele

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

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, Adriano Mele, Alessandro Tenaglia

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