4.5 Article

First experimental results with the Current Limit Avoidance System at the JET tokamak

Journal

FUSION ENGINEERING AND DESIGN
Volume 88, Issue 5, Pages 400-407

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.fusengdes.2013.04.018

Keywords

Input allocation; Shape control; Nuclear fusion

Funding

  1. EURATOM
  2. Italian MIUR under PRIN [2008E7J7A3]
  3. EPSRC [EP/I501045/1] Funding Source: UKRI
  4. Engineering and Physical Sciences Research Council [EP/I501045/1] Funding Source: researchfish

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The Current Limit Avoidance System (CLA) has been recently deployed at the JET tokamak to avoid current saturations in the poloidal field (PF) coils when the eXtreme Shape Controller is used to control the plasma shape. In order to cope with the current saturation limits, the CLA exploits the redundancy of the PF coils system to automatically obtain almost the same plasma shape using a different combination of currents in the PF coils. In the presence of disturbances it tries to avoid the current saturations by relaxing the constraints on the plasma shape control. The CIA system has been successfully implemented on the JET tokamak and fully commissioned in 2011. This paper presents the first experimental results achieved in 2011-2012 during the restart and the ITER-like wall campaigns at JET. (c) 2013 Elsevier B.V. All rights reserved.

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Strauss, S. Strikwerda, P. Strom, C. I. Stuart, W. Studholme, M. Subramani, E. Suchkov, S. Sumida, H. J. Sun, T. E. Susts, J. Svensson, J. Svoboda, R. Sweeney, D. Sytnykov, T. Szabolics, G. Szepesi, B. Tabia, T. Tadic, B. Tal, T. Tala, A. Tallargio, P. Tamain, H. Tan, K. Tanaka, W. Tang, M. Tardocchi, D. Taylor, A. S. Teimane, G. Telesca, A. Teplukhina, D. Terentyev, A. Terra, D. Terranova, N. Terranova, D. Testa, E. Tholerus, J. Thomas, E. Thoren, A. Thorman, W. Tierens, R. A. Tinguely, A. Tipton, H. Todd, M. Tokitani, P. Tolias, M. Tomes, A. Tookey, Y. Torikai, U. von Toussaint, P. Tsavalas, D. Tskhakaya, I. Turner, M. Turner, M. M. Turner, M. Turnyanskiy, G. Tvalashvili, S. Tyrrell, M. Tyshchenko, A. Uccello, V. Udintsev, G. Urbanczyk, A. Vadgama, D. Valcarcel, M. Valisa, P. Vallejos Olivares, O. Vallhagen, M. Valovic, D. Van Eester, J. Varje, S. Vartanian, T. Vasilopoulou, G. Vayakis, M. Vecsei, J. Vega, S. Ventre, G. Verdoolaege, C. Verona, G. Verona Rinati, E. Veshchev, N. Vianello, E. Viezzer, L. Vignitchouk, R. Vila, R. Villari, F. Villone, P. Vincenzi, B. Viola, A. J. Virtanen, A. Vitins, Z. Vizvary, G. Vlad, M. Vlad, P. Vondracek, P. de Vries, B. Wakeling, N. R. Walkden, M. Walker, R. Walker, M. Walsh, E. Wang, N. Wang, S. Warder, R. Warren, J. Waterhouse, C. Watts, T. Wauters, A. Weckmann, H. Wedderburn Maxwell, M. Weiland, H. Weisen, M. Weiszflog, P. Welch, N. Wendler, A. West, M. Wheatley, S. Wheeler, A. Whitehead, D. Whittaker, A. Widdowson, S. Wiesen, J. Wilkinson, J. C. Williams, D. Willoughby, I. Wilson, J. Wilson, T. Wilson, M. Wischmeier, P. Wise, G. Withenshaw, A. Withycombe, D. Witts, A. Wojcik-Gargula, E. Wolfrum, R. Wood, C. Woodley, R. Woodley, B. Woods, J. Wright, J. C. Wright, T. Xu, D. Yadikin, M. Yajima, Y. Yakovenko, Y. Yang, W. Yanling, V. Yanovskiy, I. Young, R. Young, R. J. Zabolockis, J. Zacks, R. Zagorski, F. S. Zaitsev, L. Zakharov, A. Zarins, D. Zarzoso, K-D. Zastrow, Y. Zayachuk, M. Zerbini, W. Zhang, Y. Zhou, M. Zlobinski, A. Zocco, A. Zohar, V. Zoita, S. Zoletnik, V. K. Zotta, I. Zoulias, W. Zwingmann, I. Zychor

Summary: Alpha particles with energies on the order of megaelectronvolts will be the main source of plasma heating in future magnetic confinement fusion reactors. Instead of heating fuel ions, most of the energy of alpha particles is transferred to electrons in the plasma. Furthermore, alpha particles can also excite Alfvenic instabilities.

NATURE PHYSICS (2022)

Article Physics, Multidisciplinary

Disruption prediction with artificial intelligence techniques in tokamak plasmas

J. Vega, A. Murari, S. Dormido-Canto, G. A. Ratta, M. Gelfusa

NATURE PHYSICS (2022)

Article Automation & Control Systems

Finite-Time Stabilization of Linear Systems With Unknown Control Direction via Extremum Seeking

Adriano Mele, Gianmaria De Tommasi, Alfredo Pironti

Summary: In this article, the finite-time stabilization problem for a linear time-varying system with unknown control direction is solved using a modified version of the extremum-seeking algorithm. The proposed approach uses an oscillatory input to modify the system dynamics and ensure that the system's state remains within a prescribed time-varying hyperellipsoid. The main advantage of this approach is its capability to handle systems with unknown or time-varying control direction.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2022)

Article Automation & Control Systems

Input-Output Finite-Time Stabilization of Linear Time-Varying Discrete-Time Systems

Francesco Amato, Carlo Cosentino, Gianmaria De Tommasi, Alfredo Pironti, Maria Romano

Summary: This article discusses the input-output finite-time stability (IO-FTS) of linear discrete-time systems and presents necessary and sufficient conditions for IO-FTS. By solving a set of generalized difference Lyapunov equations and difference linear matrix inequalities, the feasibility and stability of optimization problems can be established. This research is of great significance for the development and application of control science.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2022)

Article Nuclear Science & Technology

System-Engineering approach for the ITER PCS design: The correction coils current controller case study

G. De Tommasi, M. Cinque, M. Mattei, D. Ottaviano, A. Pironti, S. Rosiello, F. Villone, P. de Vries, T. Ravensbergen, L. Zabeo

Summary: The Plasma Control System (PCS) is responsible for robustly controlling plasma parameters against uncertainties and disturbances, following a System-Engineering approach. This paper presents a case study on the design of Correction Coils Current Controllers to demonstrate the effectiveness of the design process.

FUSION ENGINEERING AND DESIGN (2022)

Article Automation & Control Systems

Assessment of initial-state-opacity in live and bounded labeled Petri net systems via optimization techniques

Francesco Basile, Gianmaria De Tommasi, Carlo Motta

Summary: This paper provides a necessary and sufficient condition to check the Initial State Opacity (ISO) in discrete event systems (DES) modeled as bounded and live labeled Petri nets (PNs). The proposed approach enables the assessment of ISO by solving Integer Linear Programming problems efficiently.

AUTOMATICA (2023)

Article Nuclear Science & Technology

Strategy towards model-based design and testing of the ITER Plasma Control System

Timo Ravensbergen, Luca Zabeo, Peter de Vries, L. Pangione, Wolfgang Treutterer, Gianmaria De Tommasi, Woong-ryol Lee, Taehyun Tak, Anze Zagar

Summary: The ITER PCS requires a systematic and formal design and testing procedure, using a model-based approach. The design team uses the PCSSP and RTF for controller design and implementation, with verification and validation. The PCS design and implementation progress is monitored through the PCSDB.

FUSION ENGINEERING AND DESIGN (2023)

Article Computer Science, Information Systems

Long Short-Term Memory-Based Neural Networks for Missile Maneuvers Trajectories Prediction?

Dario Giuseppe Lui, Gaetano Tartaglione, Francesco Conti, Gianmaria De Tommasi, Stefania Santini

Summary: Due to its extensive applications in different contexts, moving target tracking has become a hot topic in the last years, above all in the military field. This work investigates the capability of deep neural networks, particularly Long-Short Term Memory (LSTM) net, in predicting the missile maneuvering trajectories in a model-free fashion, overcoming the limitations of traditional methods in terms of model uncertainties.

IEEE ACCESS (2023)

Proceedings Paper Computer Science, Artificial Intelligence

Combining simulation and machine learning for the management of healthcare systems

Carlo Ricciardi, Giuseppe Cesarelli, Alfonso Maria Ponsiglione, Gianmaria De Tommasi, Mario Cesarelli, Maria Romano, Giovanni Improta, Francesco Amato

Summary: The growing research trends in artificial intelligence have impacted the healthcare sector, particularly in clinical decision-making. However, the reliability and adaptability of predictive tools are limited in the complex and changing healthcare demand.

2022 IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL ENGINEERING (METROXRAINE) (2022)

Proceedings Paper Computer Science, Hardware & Architecture

RPUGuard: Real-Time Processing Unit Virtualization for Mixed-Criticality Applications

Marcello Cinque, Gianmaria De Tommasi, Sara Dubbioso, Daniele Ottaviano

Summary: This paper proposes an architectural solution for virtualizing RPUs in complex embedded systems. The solution, named RPUGuard, guarantees isolated communication channels with a fixed bandwidth between virtual machines running on APUs and the RPU on the same MPSoC. The evaluation shows that RPUGuard can mitigate the weaknesses of current asymmetric communication techniques and provide isolation guarantees to critical communication channels.

2022 18TH EUROPEAN DEPENDABLE COMPUTING CONFERENCE (EDCC 2022) (2022)

Proceedings Paper Automation & Control Systems

Assessment of Initial-State-Opacity in Live Bounded and Reversible Discrete Event Systems via Integer Linear Programming

Francesco Basile, Gianmaria De Tommasi, Carlo Motta, Alberto Petrillo, Stefania Santini

Summary: This paper presents a solution to the opacity property in discrete event systems and the related Initial State Opacity (ISO) problem. The sufficient condition to check ISO is obtained by solving Integer Linear Programming problems, utilizing the algebraic representation of Petri nets and the structural representation of behavior using minimal support T-invariants. The effectiveness of the approach is demonstrated through examples.

2022 30TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED) (2022)

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