ABSTRACT
This paper proposes a method to extend TCV's infrared thermography systems for real-time heat flux feedback control, leveraging machine learning and Model Predictive Control for impurity seeding and gas puffing.
PAPER · PDF
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Key findings
TCV operates three IR systems for post-discharge heat flux analysis.
Proposed modular architecture includes real-time heat flux estimation, control decision engine, and safety interlock system.
Validation plan involves simulation studies, offline validation, and phased experimental implementation.
Limitations & open questions
The system is yet to be fully integrated and validated in real-time control scenarios.