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Microreactor Automated Control System Test Bed Digital Architecture for Real-Time, Hardware-in-the-Loop Simulation

by Jonathan H Mcconnell, Pradeep Ramuhalli, Wesley C Williams, Andrew Heim
Publication Type
Conference Paper
Book Title
Proceedings of Nuclear Plant Instrumentation and Control & Human-Machine Interface Technology (NPIC&HMIT 2025)
Publication Date
Page Numbers
402 to 411
Publisher Location
Illinois, United States of America
Conference Name
Nuclear Plant Instrumentation and Control & Human-Machine Interface Technology (NPIC&HMIT 2025)
Conference Location
Chicago, Illinois, United States of America
Conference Sponsor
ANS
Conference Date
-

This work describes progress made towards the development of a real-time hardware-in-the-loop (HIL) test bed for non-nuclear testing of microreactor control schemes and failure modes. Non-nuclear testing is a crucial step in developing robust control algorithms for managing microreactor dynamics. The creation of an HIL simulation harnesses the realistic dynamics of physical analogue systems while additionally considering the challenges of variable communication delay. This collaborative effort between Oak Ridge National Laboratory and Idaho National Laboratory has resulted in a LabVIEW-based gRPC communication protocol which couples a TRANSFORM Modelica simulation of nuclear components to the ViBRANT physical hardware for realistic feedback and visual representation of control action in real time. A modular python client structure is developed to manage FMU-based Modelica simulation and real-time gRPC communication. HIL testing suggests that the modeled reactor with natural convection molten salt loop coolant configuration responds well to PID control of drum positioning for modulation of reactor core power, however, future efforts will be made to explore the added thermal inertial delay of system level control and downstream demand changes. Development of this platform with a generalized methodology provides a foundation for exploring a variety of reactor configurations and failure modes in rapid order to provide insight into the most effective avenues of study for further research and development.