Potential of Artificial Intelligence in Aviation/Aerospace Systems

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Presentation transcript:

Potential of Artificial Intelligence in Aviation/Aerospace Systems Steve Beland, Panelist SAE 2018 Aerospace Standards Summit, October 2, 2018 Flight Controls Associate Technical Fellow; Modeling & Simulation IPT; Authorized Representative (FAA) Product Strategy & Future Airplane Development, Boeing Commercial Airplanes

What we’re exploring now Autonomous Taxi Machine learning Continuing to achieve safety goals According to the Aviation Safety Network (ASN), 2016 was the second safest year on record. 2017 was even better! ZERO passenger fatalities! October 2, 2018 2

Existing & Growing Automation – Layered Loops Contingency Examples: Surface: Actuation Servos Maneuver/Stability: Attitude Speed Protection Load Alleviation Path Following: Autoland Route Planning: Flight Mgt Function Contingency: Detect & Avoid Situation decisions Etc. Route Planning Path Following Maneuver/Stability Surfaces Automation aids crews, reduces workload, augments stability or responding faster. Complexity increases going outward (# of inputs, outputs, variations, validation effort) Reaction time for failures is faster going inward More loops could be added for fleets and airspace October 2, 2018 3

SAE S-18 Committee Aircraft and Systems Development and Safety Assessment Committee S-18 ADDITIONAL S-18 DOCUMENTS: ARP5150 – Safety Assessment of Transport Airplanes in Commercial Service ARP5151 – Safety Assessment of General Aviation Airplanes and Rotorcraft in Commercial Service AIR6110 – Contiguous Aircraft/System Development Process Example AIR6218 – Constructing Development Assurance Plan for Integrated Systems AIR6219 – Incorporation of Atmospheric Neutron Single Event Effects Analysis into Safety Assessment (imminent) AIR6276 – Use Of Modeling And Tools For Aircraft Systems Development (in work) AIR6913 – Using STPA During Development and Safety Assessment of Civil Aircraft (in work) S-18 Introduce S-18 ARPs. For todays systems and can help, but advanced safety methods are needed to accommodate autonomy and AI. October 2, 2018 4 SAE ARP4754A Figure 1

Challenges and Needs for Standards & Practices Assuring Autonomous Aircraft Functions Safety Assessment is itself an enabling technology and can be our guide: Defines design space: safety requirements, design & operational constraints. Standards and recognized practices as we validate system behavior: To establish confidence for stakeholders & achieve today’s level of confidence To guide completion criteria: see our targets and what “done” looks like Specific topics: Validation objectives of AI/ML behavior as they relate to assurance & safety Degree of instrumentation of AI/ML functions (why did it do that?) Commonality with automotive sector (similar challenges) S-18 is sponsoring Aerospace Information Reports (AIRs) for emerging topics : AIR6276 – Use Of Modeling And Tools For Aircraft Systems Development AIR6913 – Use Of System-Theoretic Process Analysis (STPA) ….. Acknowledge value of ISO 26262 also Validation stakeholders: developers, users, regulators, public October 2, 2018 5

Contact Info…… Contact: Steve Beland, Associate Technical Fellow Product Strategy & Future Airplane Development Boeing Commercial Airplanes Email: steven.c.beland@boeing.com Phone: 425-294-3172 S18 Committee Website: http://www.sae.org/servlets/works/committeeHome.do?comtID=TEAS18 October 2, 2018 6