SlideShare a Scribd company logo
Federal Aviation
Administration
FAA Strategic Efforts for
The Next Leap in Aviation –
Simplified Vehicle
Operations R&D
Presentation to: GAMA SVO Meeting
Prepared by: Wes Ryan, FAA
Small Airplane Standards Branch
Date: November 28, 2018
2
• Automation is the next logical step in using
technology to enhance safety - increase access
to safe, personal aviation
• Loss of control fatal accidents are still our
largest remaining root cause - appropriately
done automation can fix this
• Past collaborative R&D partnerships
NASA/Industry led to huge improvements - GPS,
Glass Displays, ADS-B (CFIT greatly reduced)
• We continue to do specific, targeted, step-wise
R&D to solve this issue and plan for future
Situation
3
Continuing on a 10+ Year Path
Airspace
Aircraft
Airmen
Pilot Functions
1st Focus
On Aircraft
Automation
Displays/Controls
3rd Focus
On Integration
Automation
UTM
2nd Focus
On Trajectory Automation CFIT, GCAS, DAA, ACAS
Trajectory
Management
4
Purposeful Partnerships = Success
AGATE Started New Ideas That
Became Reality
Moving Map GPS, Synthetic
Vision, ADSB, etc.
“Immeasurable” Safety Benefits
5
Evolution vs. Revolution
Expected pilot workload/role impacts displays
30+ yrs old 15+ yrs old
1990’s
5+ yrs old
SVO?
2020’s
4th Generation Displays
6
Use Innovation To Enhance Safety
History of bringing new technology safely into service
– GPS, ADS-B, Glass Displays, Envelope Protection, AOA
Transformational Flight & Automation Concepts are the
Next Logical Progression/Evolution in Technology/Safety
– Innovation from UAS will work into Small Aircraft, Future UAM,
Part 25
– Culture in FAA is Shifting to Risk-based Innovation & Safety
Must Foster Innovation While Addressing Current
Challenges
– Further UAS Integration
– Greater Automation
– UAM and SVO
Use Methodical Approach
– Low risk introduction 1st
– Build to Higher Risk Uses
Future?
7
We Must Press On! What’s Next?
8
Purposeful Path/Methodology
Evolution vs. Revolution (Need Systems Thinking)
– Company Business Models Don’t Match FAA Safety Model
– Methodical Introduction - Proven Safety Benefits from R&D
Certification Challenges/Methodologies
– Technical Maturity of Automation vs. Company Expectations
– Operational Integration & Human/Machine Teaming
Vision, Steps, Path? (Aircraft, to System, to ATC)
Low Risk to High Risk (Safety Risk, Financial, Time, Certification, Infrastructure, etc.)
Aircraft ATC/NAS
9
Actively Planning Future
• Look Ahead to part 23 in 5-20+ Yrs
• Encourage New, Safer Designs
While Reducing Cert Cost
• Improving Access - Reduced Need
for Training/Skill - Virtual CoPilot
• Transform entry level GA airplanes
& transportation for 21st century
• Risk Based Decisions &
Performance Driven Requirements
• Allow Automation of Tasks as
Technology is Proven to be Safe
Enough Based on Data
10
Flight Controls & Simplified Ops
Working R&D for 10+ years to bring
affordable augmented flight path
control to GA
– Modern sensors, actuators, processors
enabling new systems – UAS provide safe
prototyping
– Real Results - Envelope Protection
Autopilots – Certified and in flight for 5+
years
– Targeting Simplified Vehicle Operations –
“Pilot on the loop” simplified flight –
Reduce pilot error
Methodical Buildup from Component to
Full System Level R&D Projects
Feeding Policy
– Yielding Real-World Test Results and
MOC
– AOA, Advanced Autopilots, Full Flight
Path Management, Resilient Automation,
“EZ-Fly” system being tested at Embry
Riddle.
Airspace
Aircraft
Airmen
11
Step-Wise R&D = Specific Results
• Simple Sensors (AOA, AHRS, etc)
• Used for stall prevention (Hundreds Installed)
• Sensors Used in Digital Two-Axis Autopilots
(Now the Norm in GA, working on Retrofit)
• Dynamic Algorithms - Self Checking and Monitoring
• Autopilots with Envelope Protection
(Several Certified Systems)
• Run-Time Assurance – Resilient Autonomy
• Self Monitoring, Bounded, Automation Systems
12
Step-Wise R&D – Cont’d
• Derived AOA to Provide Safety for Measured
Systems – AIAA Paper Presented January 2017
• Dynamic and Adaptive Algorithms – ASTM Std.
• Self-Checking and Adaptive Autopilots and
Flight Control Systems
• Bounded Behavior of Complex System to
Meet Certification Expectations
• Seek Augmented/Automated Flight Path Control
• EZ-Fly “Fly-by-Wire”, but designed for full
control of aircraft and complete stability
• Auto-land and Auto-takeoff Coming Soon
13
Future Vision for Innovation/Safety
Integration of UAS Will Also Mature Key
Technology Enablers
– Application Will Improve Access To Personal Aviation
– Attract More Pilots – Automation Will Simplify Flight
Shared Integration & Future “Traffic
Management”
– UTM Concepts Will Continue To Mature
– Build to Manage all Trajectories Leveraging UAS Tech
Prompt Agility Of Airworthiness/Collaboration
– Part 23 Rewrite, Industry Standards Development,
Others
Related R&D Must Quickly Feed Policy: Key
Enablers – Electric Propulsion, 4D Flight Path
Control, Automation
14
ASTM AC 377 Strategic Efforts
• Moving from Aircraft to System/NAS Level
• Discussing Automation Strategies Across All Aviation – GA,
UAS, Future Air Taxi, Transports
• Focusing on “Pillars of Automation”
• We don’t dictate design, but several key attributes for safety
• Independence/Partitioning
• Run Time Assurance and Self Monitoring
• Robust/Modular Architecture – Testability & Certification
• Dynamic Consistency Checks – System Behavior
• Fail-functional Design Mentality – No Human Backup
15
Can Automation Really Replace The Pilot
AND Controller Tasks Safely?
– Immeasurable Pilot X-factor, Contingencies
– Relate to Mission/CONOP Tasks Specifically
• Aviate, Navigate, Communicate - Pilot
• Locate, Separate, Communicate - ATC
Future Automated Passenger-Carrying
Aircraft
– How do we manage their integration in NAS
– Operational Requirements Must be Considered -
Part 61, Part 91, etc.
– Human Factors for ATC and Pilot/Monitor
– Role of Monitor on Ground vs. Automation on Board
Challenges
16
Enablers/Barriers – Data is Key
• Confluence of
Technology & Demand -
The Time is Right
• Societal – Reliance on
Technology/Automation
• Regulatory – Innovation
Center vs. Risk Aversion
• Partnerships Provide Safe
Data Collection
• Data to Counter Zero Risk
Mentality & “Removal of
All Uncertainty” ie 10E-14
17
R&D & Collaborations Yield Data
Continue FAA Sponsored R&D
– Aircraft and Flight Path Level Results
UAM - Grand Challenge
– Advance Maturity of UAM Aircraft/Applicants
– Leverage Combined Expertise of NASA, FAA, Industry
UAS Integration - SIO – System Integration
Operationalization
– Large UAS Initiative under UAS in NAS program
– Detect and Avoid and NAS Integration Technology Demonstrations
Automation - Resilient Autonomy – DOD, NASA, FAA
– Prove Specific Architecture Can Safely Automate Critical Tasks
– Robust Autonomy for UAS and Manned Aircraft
– Run-time Assurance – Key to Safe Automation With Less Human
Involvement
– Dynamic Consistency Checks (Avoid Issues like 737 Max)
18
Supporting Slides
19
S
e
p
t
e
m
b
e
r
2
0
0
7
Can’t Take Another 20+ Years
• Balanced, risk-based approach paid off –
display technology had timely cert
• Need Similar Timely R&D for Means of
Certifying New Control Schemes for the
Aircraft and Integration into Airspace
AGATE – 1990’s GA Panel Today
SVO?
GA Panel Today Future Panel?
Then
Now
20
CICTT = CAST / ICAO Common Taxonomy Team
In USA, someone dies
from Loss of Control
every 2-3 days ( Average)
LOC-I = Loss of Control – Inflight
CFIT = Controlled Flight Into Terrain
SCF-PP = System Component Failure-Power Plant
21
Why Is This So Exciting?
The “Model A Ford” of
The Next Gen GA Aircraft
Emerging Transformational
Flight Concepts
22
Key To Augmented Flight Path
Control
1. Modular Software
Architecture
• Top down architecture hierarchy
with clearly specified interfaces
2. Functionally Partitioned
Modules
• Each module limited to a single
safety function
• Software isolation of Vehicle
performance modeling
3. Computational Agility
• Rapid assessment of vehicle
situational hazards with quick and
decisive mitigation of those
hazards
23
Safety Systems
24
Process for Certification
Conceptual
Design
Requirements
Definition
• Process
Orientation
• Pre-Project
Guidance
• Familiarization
Briefing
• Top Level Safety
Requirement
• Potential Policy
Items to Address
• Airspace
Integration
Challenges
Compliance
Planning
Implementation
Post Certification
Activities
• UAS Conceptual
Design*
• CONOP*
• Risk Classification*
• Certification Plan*
• Conformity
Inspection Plan
• Preliminary TCBM
• ORA*
• Proposed
Certification Basis *
• Acceptable Means
of Compliance
• Detailed Method of
Compliance
• FAA Involvement
• Applicant’s
Responsibility
• Oversight and
Delegation*
• Conformity
• Interim TCBM
• ATO/AFS
Coordination*
• Compliance Data
Generation
• Compliance
Substantiation
• Compliance Finding
• Type Inspection
Report
• Data Retention
• Required
Documents at
Delivery
• TC Holder Info
• Continued
Airworthiness
• ICA Changes
• Post Certification
Evaluation
Red Items = Steps Where NASA Resilient Autonomy Will
Focus
* Denotes items that are specific to UAS Type Certification, or items that
are tailored for UAS certification
25
Notional Steps for Certification of
Automation
Identify the aircraft, its intended use, and area of operation
Identify the functions that are expected to be automated without human backup
Evaluate risks and severity of those risks based on that CONOP (What if
document) (SORA)
Evaluate mitigations for those risks and whether they are by design, operational
limitation, or geographic/airspace limitation
Evaluate the integrity/assurance needed for the risk mitigations that are by
design
Create certification requirements for the design aspects, and pass fail for those
requirements for showing compliance
Identify functions, definition of expected performance of that function, pass/fail
evaluation criteria for the function, and a means to test that functionality to verify
reliability, accuracy, availability, and what happens if it fails. (contingencies
without human intervention)
From pass/fail and expected performance for function/design features, identify
cert/safety requirement and means to test to show it has been met.
Collect data, and demonstrate compliance by test, inspection, analysis
26
Define By Mission Task Elements
• Identify what the
aircraft is going to do
(Concept of
operation/mission) and
break into mission
elements
• Identify tasks
automation is intended
to do for each mission
element
• Identify expected
behavior and pass/fail
criteria for the
automated functions
• Create mission task
element testing
procedures to
validate/verify proper
function and behavior
1
2
3 5
4
6
7
Task Description Behavior Pass/Fail MOC
1.a Pre-flight Condition for
Safe Flt
Configuratio
n
Insp
1.b Built In Test System Ready Sys
Parameter
Limits
Test
1.c Flight Plan Flt Route As Intended Test
……..
Federal Aviation
Administration
27
Conceptual
Design
Safety Assessment(SRP4761)
Identify aircraft level functions to be
certificated (included piloted and/or
autonomous)
Decompose Aircraft level functions
into system item functions.
Identify system safety requirements
Apply JARUS SORA
Guidance
Production
Concept:
Aircraft,
CONOP
(AC 21.17 Section
10)
Aircraft/System(
s)
Function
Development
Development
of System(s)
Architecture
System(s)
Implementati
on
Implementatio
n
&
Verification
Design and Development
Task at Hand
Decompose
Aviate,
Navigate, and
Communicate
Apply one or the other
Can this be met under current
14 CFR Rules
Software & Hardware
Conceptual
Design
Requirements
Definition
Compliance
Planning
Implementation
Post Certification
Activities
Process Steps for Certification
28
Need Methodical Approach for Automation
We have a history of finding ways to bring new
technology into the National Airspace System safely
– Need for balance regarding FAA rigor vs. safety
improvement
– Collaborating with NASA, industry, academia on
supporting R&D and policy development
Developing “Assured” Automation
– Bounded Behavior – Safe limitations of authority and
expected outcomes – architecture is key – human
intention is built in by bounded behavior
– Fault Tolerant, Fail-Safe – Continue to function after a
failure
Logically reduce/replace functions of pilot/controller
– Deconstruct functions of the pilot and controller to
design automation (GCAS and ACAS for Spiral 1)
(Spiral 2 will be more)
29
Humans/Machines
Trading Roles
Workload/Integrity
of
Function
Human
Function
Time
Automation
Function
Pilot
Mitigates
Risk
Automation
Mitigates
Risk
Automation
Replacing Humans
Automation May do
More Than Human
Capability
What Will Residual
Future Roles Be?
Velocity of Change Human as Safety Monitor
Current
Systems
Future
Systems
Future Safety Gain?
Reduced Pilot Error/Operational Error

More Related Content

Similar to Simplified vehicle ops

Exploring the Challenges of Implementing and Sustaining Cross-Platform NAS Ca...
Exploring the Challenges of Implementing and Sustaining Cross-Platform NAS Ca...Exploring the Challenges of Implementing and Sustaining Cross-Platform NAS Ca...
Exploring the Challenges of Implementing and Sustaining Cross-Platform NAS Ca...
EvansIncorporated
 
Uas nas uas symposium briefing sd
Uas nas uas symposium briefing sdUas nas uas symposium briefing sd
Uas nas uas symposium briefing sd
sUAS News
 
SECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali Mirchandani
SECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali MirchandaniSECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali Mirchandani
SECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali Mirchandani
ALIAS Network
 
ITS Heartland Keynote Address from ITS America
ITS Heartland Keynote Address from ITS AmericaITS Heartland Keynote Address from ITS America
ITS Heartland Keynote Address from ITS America
Mid-America Transportation Center
 
2015 Inspection Summit Presentation 300
2015 Inspection Summit Presentation 3002015 Inspection Summit Presentation 300
2015 Inspection Summit Presentation 300
James R 'Chezo' Cesarini PE
 
SGD 2016 - Introduction
SGD 2016 - IntroductionSGD 2016 - Introduction
SGD 2016 - Introduction
SESAR Joint Undertaking
 
Autonomous Industry Feedback
Autonomous Industry Feedback Autonomous Industry Feedback
Autonomous Industry Feedback
amitgangwar2010
 
Curriculum Vita_Indrajeet Singh
Curriculum Vita_Indrajeet SinghCurriculum Vita_Indrajeet Singh
Curriculum Vita_Indrajeet Singh
Indrajeet Singh
 
Cloud security expo 2017
Cloud security expo 2017Cloud security expo 2017
Cloud security expo 2017
shittusoft
 
Cyber security in_next_gen_air_transportation_system_wo_video
Cyber security in_next_gen_air_transportation_system_wo_videoCyber security in_next_gen_air_transportation_system_wo_video
Cyber security in_next_gen_air_transportation_system_wo_video
OWASP Delhi
 
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
Uvaiz2
 
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge ManagementACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
Segun Alayande
 
Tsc cav@digital catapult_march2019
Tsc cav@digital catapult_march2019Tsc cav@digital catapult_march2019
Tsc cav@digital catapult_march2019
Peter Bloomfield
 
NASA Urban Air Mobility Fatigue Prediction Aaron Crawford – NASA ULI Innovati...
NASA Urban Air Mobility Fatigue Prediction Aaron Crawford – NASA ULI Innovati...NASA Urban Air Mobility Fatigue Prediction Aaron Crawford – NASA ULI Innovati...
NASA Urban Air Mobility Fatigue Prediction Aaron Crawford – NASA ULI Innovati...
Dr. Pankaj Dhussa
 
GEE 20150826 AGIFORS Marks
GEE 20150826 AGIFORS MarksGEE 20150826 AGIFORS Marks
GEE 20150826 AGIFORS Marks
Josh Marks
 
ANSYS SCADE Usage for Unmanned Aircraft Vehicles
ANSYS SCADE Usage for Unmanned Aircraft VehiclesANSYS SCADE Usage for Unmanned Aircraft Vehicles
ANSYS SCADE Usage for Unmanned Aircraft Vehicles
Ansys
 
Keynote Predictive Maintenance in Aviation
Keynote Predictive Maintenance in Aviation Keynote Predictive Maintenance in Aviation
Keynote Predictive Maintenance in Aviation
Sander De Bree
 
Goddard 2015: Robert Pearce, NASA
Goddard 2015: Robert Pearce, NASAGoddard 2015: Robert Pearce, NASA
Goddard 2015: Robert Pearce, NASA
American Astronautical Society
 
Nextgen
NextgenNextgen
Predicting Flight Delays with Error Calculation using Machine Learned Classif...
Predicting Flight Delays with Error Calculation using Machine Learned Classif...Predicting Flight Delays with Error Calculation using Machine Learned Classif...
Predicting Flight Delays with Error Calculation using Machine Learned Classif...
IRJET Journal
 

Similar to Simplified vehicle ops (20)

Exploring the Challenges of Implementing and Sustaining Cross-Platform NAS Ca...
Exploring the Challenges of Implementing and Sustaining Cross-Platform NAS Ca...Exploring the Challenges of Implementing and Sustaining Cross-Platform NAS Ca...
Exploring the Challenges of Implementing and Sustaining Cross-Platform NAS Ca...
 
Uas nas uas symposium briefing sd
Uas nas uas symposium briefing sdUas nas uas symposium briefing sd
Uas nas uas symposium briefing sd
 
SECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali Mirchandani
SECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali MirchandaniSECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali Mirchandani
SECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali Mirchandani
 
ITS Heartland Keynote Address from ITS America
ITS Heartland Keynote Address from ITS AmericaITS Heartland Keynote Address from ITS America
ITS Heartland Keynote Address from ITS America
 
2015 Inspection Summit Presentation 300
2015 Inspection Summit Presentation 3002015 Inspection Summit Presentation 300
2015 Inspection Summit Presentation 300
 
SGD 2016 - Introduction
SGD 2016 - IntroductionSGD 2016 - Introduction
SGD 2016 - Introduction
 
Autonomous Industry Feedback
Autonomous Industry Feedback Autonomous Industry Feedback
Autonomous Industry Feedback
 
Curriculum Vita_Indrajeet Singh
Curriculum Vita_Indrajeet SinghCurriculum Vita_Indrajeet Singh
Curriculum Vita_Indrajeet Singh
 
Cloud security expo 2017
Cloud security expo 2017Cloud security expo 2017
Cloud security expo 2017
 
Cyber security in_next_gen_air_transportation_system_wo_video
Cyber security in_next_gen_air_transportation_system_wo_videoCyber security in_next_gen_air_transportation_system_wo_video
Cyber security in_next_gen_air_transportation_system_wo_video
 
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
virtual-system-integration-and-early-functional-validation-in-the-whole-vehic...
 
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge ManagementACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
ACI ACRIS Semantic Model. Airport Ecosystem Knowledge Management
 
Tsc cav@digital catapult_march2019
Tsc cav@digital catapult_march2019Tsc cav@digital catapult_march2019
Tsc cav@digital catapult_march2019
 
NASA Urban Air Mobility Fatigue Prediction Aaron Crawford – NASA ULI Innovati...
NASA Urban Air Mobility Fatigue Prediction Aaron Crawford – NASA ULI Innovati...NASA Urban Air Mobility Fatigue Prediction Aaron Crawford – NASA ULI Innovati...
NASA Urban Air Mobility Fatigue Prediction Aaron Crawford – NASA ULI Innovati...
 
GEE 20150826 AGIFORS Marks
GEE 20150826 AGIFORS MarksGEE 20150826 AGIFORS Marks
GEE 20150826 AGIFORS Marks
 
ANSYS SCADE Usage for Unmanned Aircraft Vehicles
ANSYS SCADE Usage for Unmanned Aircraft VehiclesANSYS SCADE Usage for Unmanned Aircraft Vehicles
ANSYS SCADE Usage for Unmanned Aircraft Vehicles
 
Keynote Predictive Maintenance in Aviation
Keynote Predictive Maintenance in Aviation Keynote Predictive Maintenance in Aviation
Keynote Predictive Maintenance in Aviation
 
Goddard 2015: Robert Pearce, NASA
Goddard 2015: Robert Pearce, NASAGoddard 2015: Robert Pearce, NASA
Goddard 2015: Robert Pearce, NASA
 
Nextgen
NextgenNextgen
Nextgen
 
Predicting Flight Delays with Error Calculation using Machine Learned Classif...
Predicting Flight Delays with Error Calculation using Machine Learned Classif...Predicting Flight Delays with Error Calculation using Machine Learned Classif...
Predicting Flight Delays with Error Calculation using Machine Learned Classif...
 

Recently uploaded

Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
Daiki Mogmet Ito
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 

Recently uploaded (20)

Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 

Simplified vehicle ops

  • 1. Federal Aviation Administration FAA Strategic Efforts for The Next Leap in Aviation – Simplified Vehicle Operations R&D Presentation to: GAMA SVO Meeting Prepared by: Wes Ryan, FAA Small Airplane Standards Branch Date: November 28, 2018
  • 2. 2 • Automation is the next logical step in using technology to enhance safety - increase access to safe, personal aviation • Loss of control fatal accidents are still our largest remaining root cause - appropriately done automation can fix this • Past collaborative R&D partnerships NASA/Industry led to huge improvements - GPS, Glass Displays, ADS-B (CFIT greatly reduced) • We continue to do specific, targeted, step-wise R&D to solve this issue and plan for future Situation
  • 3. 3 Continuing on a 10+ Year Path Airspace Aircraft Airmen Pilot Functions 1st Focus On Aircraft Automation Displays/Controls 3rd Focus On Integration Automation UTM 2nd Focus On Trajectory Automation CFIT, GCAS, DAA, ACAS Trajectory Management
  • 4. 4 Purposeful Partnerships = Success AGATE Started New Ideas That Became Reality Moving Map GPS, Synthetic Vision, ADSB, etc. “Immeasurable” Safety Benefits
  • 5. 5 Evolution vs. Revolution Expected pilot workload/role impacts displays 30+ yrs old 15+ yrs old 1990’s 5+ yrs old SVO? 2020’s 4th Generation Displays
  • 6. 6 Use Innovation To Enhance Safety History of bringing new technology safely into service – GPS, ADS-B, Glass Displays, Envelope Protection, AOA Transformational Flight & Automation Concepts are the Next Logical Progression/Evolution in Technology/Safety – Innovation from UAS will work into Small Aircraft, Future UAM, Part 25 – Culture in FAA is Shifting to Risk-based Innovation & Safety Must Foster Innovation While Addressing Current Challenges – Further UAS Integration – Greater Automation – UAM and SVO Use Methodical Approach – Low risk introduction 1st – Build to Higher Risk Uses Future?
  • 7. 7 We Must Press On! What’s Next?
  • 8. 8 Purposeful Path/Methodology Evolution vs. Revolution (Need Systems Thinking) – Company Business Models Don’t Match FAA Safety Model – Methodical Introduction - Proven Safety Benefits from R&D Certification Challenges/Methodologies – Technical Maturity of Automation vs. Company Expectations – Operational Integration & Human/Machine Teaming Vision, Steps, Path? (Aircraft, to System, to ATC) Low Risk to High Risk (Safety Risk, Financial, Time, Certification, Infrastructure, etc.) Aircraft ATC/NAS
  • 9. 9 Actively Planning Future • Look Ahead to part 23 in 5-20+ Yrs • Encourage New, Safer Designs While Reducing Cert Cost • Improving Access - Reduced Need for Training/Skill - Virtual CoPilot • Transform entry level GA airplanes & transportation for 21st century • Risk Based Decisions & Performance Driven Requirements • Allow Automation of Tasks as Technology is Proven to be Safe Enough Based on Data
  • 10. 10 Flight Controls & Simplified Ops Working R&D for 10+ years to bring affordable augmented flight path control to GA – Modern sensors, actuators, processors enabling new systems – UAS provide safe prototyping – Real Results - Envelope Protection Autopilots – Certified and in flight for 5+ years – Targeting Simplified Vehicle Operations – “Pilot on the loop” simplified flight – Reduce pilot error Methodical Buildup from Component to Full System Level R&D Projects Feeding Policy – Yielding Real-World Test Results and MOC – AOA, Advanced Autopilots, Full Flight Path Management, Resilient Automation, “EZ-Fly” system being tested at Embry Riddle. Airspace Aircraft Airmen
  • 11. 11 Step-Wise R&D = Specific Results • Simple Sensors (AOA, AHRS, etc) • Used for stall prevention (Hundreds Installed) • Sensors Used in Digital Two-Axis Autopilots (Now the Norm in GA, working on Retrofit) • Dynamic Algorithms - Self Checking and Monitoring • Autopilots with Envelope Protection (Several Certified Systems) • Run-Time Assurance – Resilient Autonomy • Self Monitoring, Bounded, Automation Systems
  • 12. 12 Step-Wise R&D – Cont’d • Derived AOA to Provide Safety for Measured Systems – AIAA Paper Presented January 2017 • Dynamic and Adaptive Algorithms – ASTM Std. • Self-Checking and Adaptive Autopilots and Flight Control Systems • Bounded Behavior of Complex System to Meet Certification Expectations • Seek Augmented/Automated Flight Path Control • EZ-Fly “Fly-by-Wire”, but designed for full control of aircraft and complete stability • Auto-land and Auto-takeoff Coming Soon
  • 13. 13 Future Vision for Innovation/Safety Integration of UAS Will Also Mature Key Technology Enablers – Application Will Improve Access To Personal Aviation – Attract More Pilots – Automation Will Simplify Flight Shared Integration & Future “Traffic Management” – UTM Concepts Will Continue To Mature – Build to Manage all Trajectories Leveraging UAS Tech Prompt Agility Of Airworthiness/Collaboration – Part 23 Rewrite, Industry Standards Development, Others Related R&D Must Quickly Feed Policy: Key Enablers – Electric Propulsion, 4D Flight Path Control, Automation
  • 14. 14 ASTM AC 377 Strategic Efforts • Moving from Aircraft to System/NAS Level • Discussing Automation Strategies Across All Aviation – GA, UAS, Future Air Taxi, Transports • Focusing on “Pillars of Automation” • We don’t dictate design, but several key attributes for safety • Independence/Partitioning • Run Time Assurance and Self Monitoring • Robust/Modular Architecture – Testability & Certification • Dynamic Consistency Checks – System Behavior • Fail-functional Design Mentality – No Human Backup
  • 15. 15 Can Automation Really Replace The Pilot AND Controller Tasks Safely? – Immeasurable Pilot X-factor, Contingencies – Relate to Mission/CONOP Tasks Specifically • Aviate, Navigate, Communicate - Pilot • Locate, Separate, Communicate - ATC Future Automated Passenger-Carrying Aircraft – How do we manage their integration in NAS – Operational Requirements Must be Considered - Part 61, Part 91, etc. – Human Factors for ATC and Pilot/Monitor – Role of Monitor on Ground vs. Automation on Board Challenges
  • 16. 16 Enablers/Barriers – Data is Key • Confluence of Technology & Demand - The Time is Right • Societal – Reliance on Technology/Automation • Regulatory – Innovation Center vs. Risk Aversion • Partnerships Provide Safe Data Collection • Data to Counter Zero Risk Mentality & “Removal of All Uncertainty” ie 10E-14
  • 17. 17 R&D & Collaborations Yield Data Continue FAA Sponsored R&D – Aircraft and Flight Path Level Results UAM - Grand Challenge – Advance Maturity of UAM Aircraft/Applicants – Leverage Combined Expertise of NASA, FAA, Industry UAS Integration - SIO – System Integration Operationalization – Large UAS Initiative under UAS in NAS program – Detect and Avoid and NAS Integration Technology Demonstrations Automation - Resilient Autonomy – DOD, NASA, FAA – Prove Specific Architecture Can Safely Automate Critical Tasks – Robust Autonomy for UAS and Manned Aircraft – Run-time Assurance – Key to Safe Automation With Less Human Involvement – Dynamic Consistency Checks (Avoid Issues like 737 Max)
  • 19. 19 S e p t e m b e r 2 0 0 7 Can’t Take Another 20+ Years • Balanced, risk-based approach paid off – display technology had timely cert • Need Similar Timely R&D for Means of Certifying New Control Schemes for the Aircraft and Integration into Airspace AGATE – 1990’s GA Panel Today SVO? GA Panel Today Future Panel? Then Now
  • 20. 20 CICTT = CAST / ICAO Common Taxonomy Team In USA, someone dies from Loss of Control every 2-3 days ( Average) LOC-I = Loss of Control – Inflight CFIT = Controlled Flight Into Terrain SCF-PP = System Component Failure-Power Plant
  • 21. 21 Why Is This So Exciting? The “Model A Ford” of The Next Gen GA Aircraft Emerging Transformational Flight Concepts
  • 22. 22 Key To Augmented Flight Path Control 1. Modular Software Architecture • Top down architecture hierarchy with clearly specified interfaces 2. Functionally Partitioned Modules • Each module limited to a single safety function • Software isolation of Vehicle performance modeling 3. Computational Agility • Rapid assessment of vehicle situational hazards with quick and decisive mitigation of those hazards
  • 24. 24 Process for Certification Conceptual Design Requirements Definition • Process Orientation • Pre-Project Guidance • Familiarization Briefing • Top Level Safety Requirement • Potential Policy Items to Address • Airspace Integration Challenges Compliance Planning Implementation Post Certification Activities • UAS Conceptual Design* • CONOP* • Risk Classification* • Certification Plan* • Conformity Inspection Plan • Preliminary TCBM • ORA* • Proposed Certification Basis * • Acceptable Means of Compliance • Detailed Method of Compliance • FAA Involvement • Applicant’s Responsibility • Oversight and Delegation* • Conformity • Interim TCBM • ATO/AFS Coordination* • Compliance Data Generation • Compliance Substantiation • Compliance Finding • Type Inspection Report • Data Retention • Required Documents at Delivery • TC Holder Info • Continued Airworthiness • ICA Changes • Post Certification Evaluation Red Items = Steps Where NASA Resilient Autonomy Will Focus * Denotes items that are specific to UAS Type Certification, or items that are tailored for UAS certification
  • 25. 25 Notional Steps for Certification of Automation Identify the aircraft, its intended use, and area of operation Identify the functions that are expected to be automated without human backup Evaluate risks and severity of those risks based on that CONOP (What if document) (SORA) Evaluate mitigations for those risks and whether they are by design, operational limitation, or geographic/airspace limitation Evaluate the integrity/assurance needed for the risk mitigations that are by design Create certification requirements for the design aspects, and pass fail for those requirements for showing compliance Identify functions, definition of expected performance of that function, pass/fail evaluation criteria for the function, and a means to test that functionality to verify reliability, accuracy, availability, and what happens if it fails. (contingencies without human intervention) From pass/fail and expected performance for function/design features, identify cert/safety requirement and means to test to show it has been met. Collect data, and demonstrate compliance by test, inspection, analysis
  • 26. 26 Define By Mission Task Elements • Identify what the aircraft is going to do (Concept of operation/mission) and break into mission elements • Identify tasks automation is intended to do for each mission element • Identify expected behavior and pass/fail criteria for the automated functions • Create mission task element testing procedures to validate/verify proper function and behavior 1 2 3 5 4 6 7 Task Description Behavior Pass/Fail MOC 1.a Pre-flight Condition for Safe Flt Configuratio n Insp 1.b Built In Test System Ready Sys Parameter Limits Test 1.c Flight Plan Flt Route As Intended Test ……..
  • 27. Federal Aviation Administration 27 Conceptual Design Safety Assessment(SRP4761) Identify aircraft level functions to be certificated (included piloted and/or autonomous) Decompose Aircraft level functions into system item functions. Identify system safety requirements Apply JARUS SORA Guidance Production Concept: Aircraft, CONOP (AC 21.17 Section 10) Aircraft/System( s) Function Development Development of System(s) Architecture System(s) Implementati on Implementatio n & Verification Design and Development Task at Hand Decompose Aviate, Navigate, and Communicate Apply one or the other Can this be met under current 14 CFR Rules Software & Hardware Conceptual Design Requirements Definition Compliance Planning Implementation Post Certification Activities Process Steps for Certification
  • 28. 28 Need Methodical Approach for Automation We have a history of finding ways to bring new technology into the National Airspace System safely – Need for balance regarding FAA rigor vs. safety improvement – Collaborating with NASA, industry, academia on supporting R&D and policy development Developing “Assured” Automation – Bounded Behavior – Safe limitations of authority and expected outcomes – architecture is key – human intention is built in by bounded behavior – Fault Tolerant, Fail-Safe – Continue to function after a failure Logically reduce/replace functions of pilot/controller – Deconstruct functions of the pilot and controller to design automation (GCAS and ACAS for Spiral 1) (Spiral 2 will be more)
  • 29. 29 Humans/Machines Trading Roles Workload/Integrity of Function Human Function Time Automation Function Pilot Mitigates Risk Automation Mitigates Risk Automation Replacing Humans Automation May do More Than Human Capability What Will Residual Future Roles Be? Velocity of Change Human as Safety Monitor Current Systems Future Systems Future Safety Gain? Reduced Pilot Error/Operational Error