To maintain a high-performance, long-duration tokamak plasma scenario, it is necessary to maintain desired profiles while respecting operational limits. This requires real-time estimation of the profiles, monitoring of their evolution with respect to predictions and known limits, and their active control to remain within the desired envelope. Model-based techniques are particularly suitable to tackle such problems due to the nonlinear nature of the processes and the tight coupling among the various physical variables. Physics-based, control-oriented models for the core plasma profiles in a tokamak are presented, formulated in such a way that powerful methods from the systems & control engineering community can be leveraged to design eficient algorithms. We report on new development and applications of these models for real-time reconstruction, monitoring and integrated control of plasma profiles on TCV, ASDEX-Upgrade and simulations for ITER.

Real-time model-based plasma state estimation, monitoring and integrated control in TCV, ASDEX-Upgrade and ITER

P Piovesan;
2016

Abstract

To maintain a high-performance, long-duration tokamak plasma scenario, it is necessary to maintain desired profiles while respecting operational limits. This requires real-time estimation of the profiles, monitoring of their evolution with respect to predictions and known limits, and their active control to remain within the desired envelope. Model-based techniques are particularly suitable to tackle such problems due to the nonlinear nature of the processes and the tight coupling among the various physical variables. Physics-based, control-oriented models for the core plasma profiles in a tokamak are presented, formulated in such a way that powerful methods from the systems & control engineering community can be leveraged to design eficient algorithms. We report on new development and applications of these models for real-time reconstruction, monitoring and integrated control of plasma profiles on TCV, ASDEX-Upgrade and simulations for ITER.
2016
Istituto gas ionizzati - IGI - Sede Padova
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/333552
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