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@ -183,45 +183,67 @@ manufacturing and other critical infrastructure.
### Related Papers: ### Related Papers:
[[enhancing-cyber-physical-system-dependability-via-synthesis-challenges-and-future-directions]]
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## **Formally Verified Runtime Monitoring and Fallback** ## **Formally Verified Runtime Monitoring and Fallback**
### Goals: ### Goals:
If this research is successful, we will be able to generate The goal of this research is to create a methodology for
autonomous controller shields that provably adhere to specifications automatically generating runtime monitoring and fallback
written with temporal logic. switching components from formal specifications in FRET for
a reactor control system. Runtime monitoring with automatic
switchover is a proven approach to ensuring safety in
critical control systems: a primary controller operates
under normal conditions, while a fallback safety controller
is engaged if safety limits are approached or violated.
These fallback mechanisms lend themselves naturally to
linear temporal logic (LTL) specifications that can be
elicited from high-level safety and operational requirements
using automated tools. If the creation of these runtime
monitors and switchovers can be automated from formal
requirements, the engineering effort to implement robust
fallback logic will be greatly reduced, while maintaining
provable adherence to safety constraints.
### Outcomes: ### Outcomes:
- Create an intermediary shield that mediates signals between an 1. Implement reactor control safety and operational
optimal control system and the physical plant (MODBUS)? requirements as requirements in FRET, and extract
temporal logic definitions of allowable system behaviors.
- Translate specifications in a language like TLA+ into an 2. Synthesize the switching component from LTL specification
executable program using an automated tool such as Strix.
- Provide proof artifacts that automatically generated 2. Develop a new endpoint for the Advanced Reactor Cyber
shield components will not allow an arbitrary controller to Analysis and Development Environment (ARCADE) that
reach an unsafe state. utilizes a shielding mechanism to switch between control
trains.
3. Create an example learning-based controller to
demonstrate the application of the machine generated
shield.
4. Provide proof artifacts that automatically generated
shield components will not allow an arbitrary controller
to reach an unsafe state.
### Impact: ### Impact:
Shielding is one of the preeminent ways to do safe machine This approach addresses a persistent challenge in
learning controllers. Instead of putting the proof burden on high-assurance systems: stringent safety requirements often
the machine learning component, shielding creates a safe force engineers to trade innovation and adaptability for
boundary in the state space where a safety controller will proven but rigid safety mechanisms. The proposed method
step in if the machine learning controller endangers the maintains safety guarantees while allowing more flexible or
system. This technology solves a critical problem with high advanced primary control strategies. Moreover, automating
assurance systems: high assurance systems have critical the translation from formal safety requirements into
safety requirements that make scrutiny on autonomous systems executable monitoring and switchover logic creates a
safety intense. Shielding can provide a safety barrier for repeatable, transparent, and verifiable process. This
the controller, allowing the architecture of the control reduces engineering effort, improves traceability to
laws to be amenable to more efficient machine learning based regulatory requirements, and may enable faster deployment of
methods. Finally, utilizing an automatic translation from a safety-critical control architectures in nuclear power and
temporal logic formulation of a speculation will allow the other critical infrastructure systems.
engineers of these systems to quickly and clearly implement
a shield, without all of the cumbersome derivation.
### Related Papers: ### Related Papers:
@ -232,67 +254,67 @@ a shield, without all of the cumbersome derivation.
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## **Data-Driven Fault Detection Using High-Assurance Digital Twins** ## **Data-Driven Fault Detection Using High-Assurance Digital Twins**
(8)
### Goals: ### Goals:
The goal of this research is to use machine learning to The goal of this research is to develop a high-assurance,
identify system faults of a reactor control system during digital twinbased methodology for runtime fault detection
runtime. A digital twin will be compared to measurements in a reactor control system. A physics-based digital twin
from a real plant to identify issues such as coolant losses, will be continuously compared with live plant measurements
sensor and actuator failures, or component degredation so to detect anomalies such as coolant losses, sensor and
that safety strategic decisions about the plant can be made actuator faults, and abnormal component degradation. Discrepancies
autonomously. between the digital twin and plant data will be analyzed
using physics-informed machine learning models to diagnose
the underlying fault and trigger appropriate autonomous
control actions.
### Outcomes: ### Outcomes:
For this research to be successful, I will accomplish the For this research to be successful, I will accomplish the
following: following:
- Create a simulation suite for the Small Modular Advanced 1. Create a simulation suite for the Small Modular Advanced
High Temperature Reactor (SmAHTR) to simulate fault High Temperature Reactor (SmAHTR) to simulate fault
conditions of sensors, actuators, and component degradation. conditions including sensor and actuator failures, and
component degradation.
- Develop a physics informed neural network (PINN) approach 2. Implement a physics-informed neural network (PINN)
to evaluate physics discrepancies in measured signals and framework to estimate key plant parameters, detect
to estimate physically relevant parameters to determine discrepancies between predicted and measured signals, and
real system divergence from the nominal plant. identify probable fault conditions.
- Realize a proof of concept autonomous controller than can 3. Integrate the fault detection developed with a
react to fault conditions by switching to different proof-of-concept autonomous supervisory controller
control modes rather than only responding with reactor capable of implementing graded responses to fault
shutdown. conditions.
### Impact: ### Impact:
The nuclear energy industry's largest expense is operations The nuclear energy industry's largest expense is operations
and maintenance (O&M). These costs include typical reactor repair and maintenance (O&M). These costs include typical reactor
and refueling, the labor involved to complete such repair and refueling, the labor involved to complete such
maintenance, and finally the labor involved in operating the maintenance, and finally the labor involved in operating the
reactor itself. Currently the largest of these O&M expenses reactor itself. Large reactors are able to spread these O&M
is the labor and part cost used in maintenance, while large costs over large power outputs, but small modular reactors
nuclear reactor facilities require a modest reactor operator (SMR) and microreactors (MR) do not have the same capacity
budget per megawatt of energy produced. The advent of small to dissipate O&M costs. Instead, SMRs and MRs must innovate
modular reactors (SMRs) and microreactors (MRs) will change in O&M to be economically competitve. As SMRs and MRs become
these economics significantly. more common, the cost of repair and maintenance will reduce
dramatically as nuclear power components become modular,
replaceable parts instead of the bespoke reactor designs
currently operating in large reactors. Operator wages,
however, can be expected to increase without introducing
greater controller autonomy. SMRs and MRs have much smaller
power output per reactor core, and if they are required to
employ the same size reactor operator team as a conventional
large reactor, will suffer from much larger operator expense
per megawatt. Greater controller autonomy can solve this
problem by unloading some reactor control responsibilities
from the operator, and therein reduce labor cost.
As SMRs and MRs become more common, the cost of repair and (I think something can be said about safety here too (time
maintenance should reduce dramatically as nuclear power to respond, human factors removed, etc.), but I'm chewing on
components will become modular, replaceable parts instead of how to word that.)
the bespoke reactor designs currently operating. Operator
wages, however, can be expected to increase without
introducing greater controller autonomy. SMRs and MRs are
much smaller output designs per reactor core, and if they
are required to employ the same size reactor operator team
as a conventional large reactor, will suffer from much
larger operator expense per megawatt. Greater controller
autonomy can solve this problem by unloading some reactor
control responsibilities from the operator, and therein
reduce labor consumption.
<# TO DO #>
Finally reactor safety can be improved by greater autonomy
yada yada find some reasons to back this up.
### Related Papers: ### Related Papers:
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