Operations of a magnetic fusion experiment, such as JET, rely on the presence of real-time (RT) control schemes, which supervise the plasma reaching the expected target performance while maintaining machine integrity. In JET, efforts have been dedicated since [1] in developing and testing RT control schemes in preparation for the upcoming Deuterium and Tritium (DT) campaign. When operating JET in DT, each plasma discharge will a precious resource, being both T and neutron budget limited. Among the developed control schemes, we present i) the fuel mixture controller, which will maintain the required 1:1 DT ratio needed to favour nuclear fusion processes, ii) the dud detector [2], which will terminate a discharge moving toward under-performing states, and iii) a series of improved RT controllers for plasma termination, such as ?N-control. Moreover, brand-new detectors, based on machine learning approaches, have been implemented for detecting off-normal events or pre-disruptive states and have been included in the PETRA system [3] and new metrics have been employed for flagging alarms, such as the temperature profile hollowness [4]. Work is also ongoing to deploy into JET the RAPTOR suite, a RT observer for plasma state monitoring, and to identify control schemes within RAPTOR capabilities, which could contribute to support the development of high performance plasma scenarios [5].

Progress in preparing real-time control schemes for Deuterium- Tritium operation in JET

Sozzi C;
2020

Abstract

Operations of a magnetic fusion experiment, such as JET, rely on the presence of real-time (RT) control schemes, which supervise the plasma reaching the expected target performance while maintaining machine integrity. In JET, efforts have been dedicated since [1] in developing and testing RT control schemes in preparation for the upcoming Deuterium and Tritium (DT) campaign. When operating JET in DT, each plasma discharge will a precious resource, being both T and neutron budget limited. Among the developed control schemes, we present i) the fuel mixture controller, which will maintain the required 1:1 DT ratio needed to favour nuclear fusion processes, ii) the dud detector [2], which will terminate a discharge moving toward under-performing states, and iii) a series of improved RT controllers for plasma termination, such as ?N-control. Moreover, brand-new detectors, based on machine learning approaches, have been implemented for detecting off-normal events or pre-disruptive states and have been included in the PETRA system [3] and new metrics have been employed for flagging alarms, such as the temperature profile hollowness [4]. Work is also ongoing to deploy into JET the RAPTOR suite, a RT observer for plasma state monitoring, and to identify control schemes within RAPTOR capabilities, which could contribute to support the development of high performance plasma scenarios [5].
2020
Istituto per la Scienza e Tecnologia dei Plasmi - ISTP
real-time control
Deuterium- Tritium
JET
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/379564
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