Automated Flight And Contingency Management, - NASA
Automated Flight and Contingency Management,NASA Advanced Air Mobility (AAM) Project7 August, 2020Ken Goodrich, AAM Deputy Project Manager for Technology1
Goals for Session Overview of the goals and approach of NASA’s AutomatedFlight and Contingency Management (AFCM) research for UAM Describe NASA’s AFCM partnership strategy including currentRequest for Information Answer questions2
AAM Mission Critical CommitmentVehicle Development and Operations Develop concepts andtechnologies to define requirements and standards addressingkey challenges such as safety, affordability, passengeracceptability, noise, automation, etc.Airspace Design and Operations Develop UTM-inspiredconcepts and technologies to define requirements andstandards addressing key challenges such as safety,access, scalability, efficiency, predictability, etc.Community Integration Create robust implementationstrategies that provide significant public benefits and catalyzepublic acceptance, local regulation, infrastructuredevelopment, insurance and legal frameworks, etc.Critical Commitment:Based on validated operationalconcepts, simulations, analyses,and results from NationalCampaign demonstrations, theAAM Mission will deliver aircraft,airspace, and infrastructure systemand architecture requirements toenable sustainable and scalablemedium density advanced airmobility operationsAchieving validate “systems and architecture requirements” will require enabling activities such as 1) the AAM NationalCampaign Series 2) a robust Ecosystem Partnership model and 3) NASA ARMD Portfolio Execution.3
UAM Maturity Level (UML) - 4 Medium Density– 100’s of aircraft aloft over metro area– 10’s of vertiports, some capacity constrained with high traffic densities and rigorous slot management Medium Complexity– Operations into urban cores (e.g. limited physical separation between vertiports, people, property)– Visibility independent operations Collaborative and Responsible Automated Systems– FAA certifies automation as responsible for performing specified functions, relieving pilot fromlearning or performing them in any situation, including degraded system modes not shown to beextremely improbable Human not required to monitor or backup these functions– Automation has comprehensive, autonomous situation awareness and collaborates with pilot toidentify and manage hazards while safely and appropriately executing flight and contingencyoperations4
AFCM Goals:Aircraft and Aircrew BarriersAirspace BarriersCommunity Integration BarriersCentral to Pillar 2: Safe Urban FlightManagement Increasingly AutomatedVehicle Operations Certification & OperationalApproval UAM Maturity Level 4Develop validated system architectures & research findings to support standards for vehicle and pilotinterface systems enabling “collaborative and responsible” automation and other UML-4 capabilities5
Integration is Key for AFCMOutcomes-OperationsHuman SystemIntegrationAutomation& AircraftSafety &Certification Proof of concepts, aircraftautomation, pilot interface, andflight operations Overall UAM system ofrequirements: aircraft automation,operations, and external interfaces Reference aircraft automationarchitectures Inform development of frameworkand standards for humanautomation certification andapprovals Path to increasing scalability6
AFCM Functional Scope (Flight Management Function)Strategic InterfacesRoute PlanL /VNAVTactical InterfacesRepresentativeTime ScalesFlight proceduresFlight PlanningPresent- end of flightNavigationMinutesAuto-FlightAutoFlightManual InterfacesAirspace System and OperationsMission Management‒ Operations center‒ Divert options‒ Contingency plansStrategic flightpath managementAFCMRepresentativeAutomation Stack SecondsSurfacesMotorsInner-loop 1 secEffectors &Propulsors 0.01secTactical Operations‒ Detection / perception‒ Situation awareness‒ Conflict detection & resolutionVehicle control“Manual” flight0.1, SecondsInner-loopFlight & Propulsion Control‒ ATM Interaction‒ Route optimization‒ Autoflight‒ Simplified handling‒ Collision avoidanceBaseAircraftStability and Control Augmentation,Critical Failure for Performance,Certified Minimum Performance
AFCM Strategy and Timeline Synchronized with National Campaign lp catalyze UML 1, 2 CY2027CY2028LegendNC-DTDevelopmental TestingNC-1NC Series DevelopmentOperational SafetyNC Series Operational DemonstrationsKey Contributions to UML 3, 4 timeline Complex OperationsNC-2High Volume VertiportsNC-3Scaled Urban DemoNC-48
AFCM Strategy and Timeline Synchronized with National Campaign SeriesCY2020CY2021CY2022CY2023CY2024Help catalyze UML 1, 2 CY2025CY2026CY2027CY2028LegendAutomation Research and Capability DevelopmentNC-DTDevelopmental TestingIntegration of Automated Systems Flight TestingNC-1NC Series DevelopmentOperational SafetyNC Series Operational DemonstrationsKey Contributions to UML 3, 4 timeline AFCMComplex OperationsIAS-1NC-2AFCMHigh Volume VertiportsIAS-2NC-3AFCMScaled Urban DemoIAS-3NC-49
National Aeronautics andSpace AdministrationNASA NC-2 Complex Operations OV-14D TBO / DAAMerging & Spacing4D TBO / DAAMerging & SpacingLVCTrafficCritical VehicleFailure PointNominalOperationsTakeoff and edLandingHazard Perception& AvoidanceCommitDecision PointUnchartedObstacleLEGEND:- NC-2 & AFCM Automation Challenges- Operational ElementsKey automation challenges addressed by AFCM will enable NC-2 vehicle automation
NASA NC-3 High Volume Vertiports OV-1National Aeronautics andSpace AdministrationGPS OutageCNSIAuto-landCNSIEmergencyHandlingSystem RecoveryFrom Minor DisruptionContingencyDecision MakingEmergencyLandingAuto-avoidInjected trafficInjected traffic
Automated Flight & Contingency Management, Notional Architectureand Project InterfacesProject ContributingCapability or ExpertiseUrban Capable AircraftUAM Automated Flight & Cont. ManNational Campaign/IASAutomation Enabled PilotsSimplified HandlingEnhanced DisplaysPiloting RequirementsAssured Vehicle AutomationV2V Comm, SurveillanceSWSTTTATM-XRVLTAAM NC/IASAAM HDVAAM AFCMFleet OperatorFleet ManagementAutonomous Operations PlannerHazard Detection / PerceptionTactical Planning, SeparationNavigation, Trajectory ExecutionCollision AvoidanceOn-board In-Time System Safety NetsAuto-FlightVertiport AutomationSurveillanceVehicle-to-Infrastructure Comm.Vertiport Safety ServicesAirspace ManagementPre-Flight DeconflictionConflict ManagementCNSI System ConceptsIn-Time System Safety AssuranceAFCM develops vehicle automation architectures leveraging capabilities across ARMD
AFCM Strategy and Timeline Synchronized with National Campaign SeriesCY2020CY2021CY2022CY2023CY2024Help catalyze UML 1, 2 CY2025CY2026CY2027CY2028LegendAutomation Research and Capability DevelopmentNC-DTDevelopmental TestingIntegration of Automated Systems Flight TestingNC-1NC Series DevelopmentOperational SafetyNC Series Operational DemonstrationsKey Contributions to UML 3, 4 timeline AFCMSimplified Handling and OperationsUML 3-4 Automation Dev & EvalComplex OperationsIAS-1NC-2AFCMIntegrated UML 3-4 SystemHigh Volume VertiportsIAS-2NC-313
AFCM RFI Open to any organization– Particularly interested in responses from organizations developingtechnologies, integrated systems, integration on vehicles Don’t feel limited to suggested content– Candor appreciated Information identified as proprietary protected Consider NASA facilities or capabilities of interest to yourorganization14
AFCM Partnership StrategyExample le PartnersVehicle Developers eVTOL Surrogate developmentaircraftAvionics Companies Integrated panel Integrated flight systemsTechnology Developers Subsystems/technologiesEngagement Strategy Engage industry on AFCM portfolio via Ecosystem WorkingGroups, Aircraft subgroup Release RFI targeting vehicle, system, and tech developers: Emerging AFCM concepts Vehicle dynamics, performance, and system models andalgorithms development of integrated avionics for UAM Integrate AFCM concepts onto prototype, surrogate vehicles Evaluation and application of candidate certification methods Release Announcement of Collaborate Opportunities (ACO)in January. Working connections between ACO’s for NC-2Information Exchange, AFCM, IAS, etc.ACO Release Expected in JanuaryAAM ProjectRFIDeadline Formulation ReviewAugSepACOResponsesDueACO ReleaseOctNovDecJanFebMarch15
Core NASA Facilities and Capabilities for AFCMVertical Motion SimulatorCognitive Engineering LabCockpit Motion FacilityDevelopmental UAM Simulator- FlyerResearch Flight DeckMobile Operations FacilityAirspace Operations LabTestbed Virtual InfrastructureAir Traffic Operations LabFuture Flight Central* This list of capabilities is a notional first cut and we are still in formulation, we have not yet assessed all the requirements or made commitments for each capability.16
QUESTIONS?17
Definitions: Automated Flight and Contingency Management for UAM Automated– Use of technological systems to perform and support operational processes and functions including control,information processing, and management tasks– Encompasses autonomous systems (technological) which may (but don’t require) AI/ML technologies– Includes design and facilitation of appropriate monitoring, interaction, and management by human and externalautomation agents (e.g. Human-Automation Teaming, Aircraft-Airspace Integration ) Flight Management:– Planning, monitoring, and execution of flight operations for an individual aircraft within an operationalenvironment and broader airspace system Contingency Management:– Anticipation, detection, recognition, & mitigation of unexpected and/or off-nominal situation elements effectingflight safety, efficiency, etc. UAM– Emerging aviation system concept enabled by the development, maturation, and integration of dramatically newvehicle, airspace system concepts and technologies– UAM system trade space is large, complex & relatively undeveloped for nominal and contingency operations18
Flight Planning Present- end of flight AFCM Functional Scope (Flight Management Function) Base Aircraft Flight procedures Strategic flightpath management ‒ATM Interaction CM ‒Route optimization Airspace System and Operations Stability and Control Augmentation, Critical Failure for Performance, Certified Minimum Performance Mission Management
Flight Operation Quality Assurance (FOQA) programs are today customary among major . EASA European Aviation Safety Agency F/D Flight Director . FAF Final Approach and Fix point FCOM Flight Crew Operating Manual FCTM Flight Crew Training Manual FDAP Flight Data Analysis Program FDM Flight Data Monitoring FLCH Flight Level Change FMC Flight .
Using ASA’s Flight Planner A flight log is an important part in the preparation for a safe flight. The flight log is needed during flight to check your groundspeed and monitor flight progress to ensure you are staying on course. The Flight Planner has two sections; the Preflight side is used for pre-
1.1 This Contingency Plan forms part of the overall national contingency planning for [STATE], in accordance with the provisions of Annex 11 to the Convention on Civil Aviation, ICAO Doc 9462 ATS Planning Manual and Doc 9673 Asia and Pacific Regions Air Navigation Plan, and the Asia/Pacific Region ATM Contingency Plan. The Plan, and any .
preparing the contingency plan. A contingency plan is technical in nature, requiring the writer to be knowledgeable about the hazardous wastes, associated risks and options for management of the wastes in an emergency situation; a small portion of a contingency plan deals with communications. As noted in Section 9, the plan should include a .
Integrated Contingency Plan Guidance (2002) US EPA ARCHIVE DOCUMENT Author: US EPA, OSWER, Office of Emergency Management Subject: The Integrated Contingency Plan consolidates planning requirements for a facility contingency plan. This document outlines the requirements, limitations, ben
In this document, NESDIS supplements the NIST SP 800-53 and SP 800-34 guidance by detailing procedures and establishing responsibilities for developing and maintaining a Contingency Plan, as well as training, testing and exercising the Contingency Plan. Managing a Contingency Planning Program and records in the Cyber Security Assessment
Testing contingency plans to ensure organizational readiness and provide confidence that contingency plans would be effective Revise contingency plans if tests show areas which would be ineffective Application and data criticality analysis Ensure all critical applications and data are accounted for as part of the contingency plans
PROF. P.B. SHARMA Vice Chancellor Delhi Technological University (formerly Delhi College of Engineering) (Govt. of NCT of Delhi) Founder Vice Chancellor RAJIV GANDHI TECHNOLOGICAL UNIVERSITY (State Technical University of Madhya Pradesh) 01. Name: Professor Pritam B. Sharma 02. Present Position: Vice Chancellor Delhi Technological University (formerly Delhi College of Engineering) Bawana Road .
