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Testing a Run-Time Assurance Framework Coupled with Integrated Risk Mitigation Capabilities for Autonomous Urban UAS FlightsThe In-Time Aviation Safety Management System (IASMS) Concept of Operations (ConOps) envisions new capabilities to monitor, assess, and mitigate flight safety risks. Systems will be tailored to mission type, vehicle/equipage type, operational environment, and safety risk tolerance. Within an IASMS framework, several capabilities may be implemented spanning three operational phases (pre-flight, in-flight, and post-flight/off-line); and consisting of lower level functions and information services which may reside onboard the aircraft, on third-party server(s), and/or on ground/operator station(s). Each capability will be designed to produce and disseminate safety-relevant information; perform detection, diagnosis, and prediction of unsafe situations; and/or execute mitigation actions when hazardous events warrant such changes. This paper focuses on recent testing of airborne capabilities that demonstrate inflight aspects of the overarching concept for autonomous unmanned aircraft systems (UAS) operations in urban environments. A flight test architecture is described that applies run-time assurance principles (e.g., executes independent of the unassured autopilot), real-time risk assessment, and a technique to execute contingencies if necessary either automatically or via pilot intervention. Several tests using small UAS were conducted to verify the assured in-flight risk mitigation capability. The paper draws significantly from a larger NASA technical report and recent prior conference papers, providing additional details. Data is analyzed for two representative flights to illustrate the performance for various sequential and simultaneous hazards used during testing. During each automated flight, several hazards are encountered at various points along the flight path. At each point, the hazard is mitigated by the system, with the vehicle then continuing to subsequent points. The paper concludes with lessons-learned regarding relevant aspects of the overarching IASMS concept and how it may be updated and further advanced in the future.
Document ID
20240007663
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Ersin Ancel
(Langley Research Center Hampton, United States)
Andrew J Moore
(Langley Research Center Hampton, United States)
Steven D Young
(Langley Research Center Hampton, United States)
Evan T Dill
(Langley Research Center Hampton, United States)
Cuong (Patrick) Quach
(Langley Research Center Hampton, United States)
Kyle M Smalling
(Langley Research Center Hampton, United States)
Date Acquired
June 14, 2024
Subject Category
Air Transportation and Safety
Meeting Information
Meeting: 43rd Digital Avionics Systems Conference (DASC)
Location: San Diego, CA
Country: US
Start Date: September 29, 2024
End Date: October 3, 2024
Sponsors: Institute of Electrical and Electronics Engineers, Digital Avionics Technical Committee
Funding Number(s)
WBS: 340428.02.40.07.01
WBS: 340428.02.60.07.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
population activity
unmanned aircraft systems
autonomous decision making
risk management
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