faa support for dod’s uas ai joint test joint university program (jup) tim al schwartz, modeling...
DESCRIPTION
Two Phases and Teams on the Project Two distinct teams working different experiments ANG-C41: fast-time computer simulation o Assisted DOD team in development of procedural charts to test if flyable by UAS and have low impact on other National Airspace System (NAS) traffic o Provides input into HITL in number of ways (e.g. solving issues procedure charts) ANG-E: HITL experiment in WJHTC labs o Examine the effectiveness of standardized procedures for UAS arrival, departure, en route, and contingency operations across all DoD services o Across 3 phases of flight: Terminal Area, Transit, Operating Area Both teams benefit from collaboration as each set of experiments are developed in a phased time line 3 Dec Nov ‘13 Jan’14FebMarAprMayJunJulAugSep ANG-C41 : Computer Simulation ANG-E : Human-in-the-Loop Phase 1: Phase 2:TRANSCRIPT
FAA Support for DoD’s UAS AI Joint TestJoint University Program (JUP) TIM
Al Schwartz, Modeling and Simulation Branch, ANG-C55January 21, 2016
Project Overview
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• DOD UAS Airspace Integration Joint Test (UAS AI JT) Team (Sponsor) Researching the
development of standard operating procedures
Includes contingency operations
Two Phases and Teams on the Project
• Two distinct teams working different experiments ANG-C41: fast-time computer simulation
o Assisted DOD team in development of procedural charts to test if flyable by UAS and have low impact on other National Airspace System (NAS) traffic
o Provides input into HITL in number of ways (e.g. solving issues procedure charts)
ANG-E: HITL experiment in WJHTC labso Examine the effectiveness of standardized procedures for UAS arrival,
departure, en route, and contingency operations across all DoD serviceso Across 3 phases of flight: Terminal Area, Transit, Operating Area
• Both teams benefit from collaboration as each set of experiments are developed in a phased time line
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DecNov ‘13 Jan’14 Feb Mar Apr May Jun Jul Aug Sep
ANG-C41 : Computer SimulationANG-E : Human-in-the-Loop
Phase 1:Phase 2:
Model Preparation
Experimental Design
Input Data Preparation
Simulation Conduct and
Analysis
#ANG-C41 Task (See Table 5 of PSS) Deliverable (See Table 2 of PSS)DOD Task (See Table 5 of PSS) Technical Interchange Meeting
FebDecNov ‘13 Jan ‘14 Apr JunMayMar
(MP1) Gather Aircraft Performance Characteristics
(MP2) Develop Aircraft Verification Scenarios
(MP3) Run Simulation
(MP4) Analyze Simulation Results
(MP5) Document Verified Aircraft Performance Characteristics2
(ED1) Determine Initial Set of Metrics(ED2) Document Experimental Design1
Flight Test 1 Program Review
(IDP3) Gather SME Feedback on Chart and Traffic Validity
(IDP4) Provide Traffic Sample
(IDP6) Develop Initial Chart Scenarios in Simulation Tool
(IDP5) Configure Metrics in Simulation Tool
(IDP2) Develop Data Input Tools
(IDP1) Gather Traffic Recordings
(ICV1) Execute Initial Simulation Runs
(ICV3) Document Initial Simulation Results
(CVU2.3) Modify Charts – if necessary(CVU2.4) Refine Chart Scenarios
(CVU2.6) Analyze Update 2
(CVU2.1) Update UAS Charts
(CVU2.2) Gather SME Feedback
(CVU2.5) Execute Update 2 Simul.
(CVU2.7) Doc. Final Sims
(ICV2) Analyze Initial Simulation Runs
(ICV4) TIM to Discuss Results of Initial Simulation Runs
(CVU2.9) Document Final Results & Methodology 4
(CVU1.3) Modify Updated UAS Charts – if necessary(CVU1.4) Refine UAS Chart Scenarios in Simulation Tool
(CVU1.6) Analyze Update 1 of Simulation Runs
(CVU1.1) Update UAS Charts
(CVU1.2) Gather SME Feedback on Updated Charts
(CVU1.5) Execute Update 1 of Simulation Runs
(CVU1.7) Document Update 1 of Simulation Results(CVU1.8) TIM to Discuss Results of Update 1 Simulation Runs (CVU2.8) Final TIM
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Initial UAS Procedure Chart Delivered
Project Complete
Domain:En route airspace, Terminal, Airport Primary Capabilities: Simulation, conflict prediction, conflict resolution, visual demonstration, and metrics Primary Use:Analysis of procedures, decision support tools Past/Current usage:IADCS, SVO, UAS DOD JT, Wx Requirements, ORC
Air Traffic Optimization (AirTOp)AirTOp is a gate-to-gate continuous fast-time simulator, with a multi-agent architecture. It can simulate en-route, approach and ground operations, and combinations of the three. AirTOp evaluates, among others, capacity, delay, flight efficiency, safety and controller workload related metrics.
Scenario Information• Types and Number
Baseline (NAS flights only) - 2 Nominal (NAS flights + UAS no contingency) - 12 Contingency (NAS flights + UAS contingency) - 24
• Manned traffic Based on flows seen in ~60 days of operational data Increased to 50-60 flights per hour in RAPCON
• Airports KRDR and KGFK North and South Flows modeled
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Iterative Approach & Objectives• 3 Iterations• Compare Nominal versus Baseline
Answers key question: how does UAS impact the NAS when UAS follows standardized procedure?
• Compare Contingency versus Baseline Answers key question: how does UAS
impact the NAS when UAS follows standardized procedure and experiences a loss of link?
• Compare Contingency versus Nominal Answers key question: what impact is added
to the NAS when UAS follows standardized procedure and experiences a loss of link?
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{Step A}DOD Delivers Current
UAS Approach/Departure Plate
{Step B}FAA Configures
Simulation Tool for UAS Plate
{Step C}FAA Runs Simulation
Tool and Provides Results
{Step D}Technical
Interchange Meeting to Discuss
Results
{Step E} Changes
Required ?
Yes,Repeat Iteration
No
{Step F} Task Complete, Results
Documented for Final UAS Plate
Analysis • Aircraft Performance Verification (First Iteration Only)• UAS Conflict Analysis• Propensity
The likelihood of a safety significant event occurring during normal operations
• Separation Event Counts Conflict/Loss of Separation: < 3nm or < 1000 ft. Encounter: < 9nm or < 3000 ft.
• Separation Statistics Minimum max-ratio (MMR) Minimum horizontal separation (MH) Minimum vertical separation (MV)
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Aircraft Performance Verification
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UAS Conflict Analysis
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In this case, found need to move a waypoint due to route proximity with NAS traffic.
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Latit
ude
Longitude
HOGER
PTRBG
LAKTO
NRTWDHONNE
CONWY
PISEKLANKN
AGECU
Lower Propensity
Higher Propensity
Conceptual Propensity Map
Propensity Chart: Shadow
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Separation Event Counts
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Separation Statistics
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Min Max Ratio
Simulation Conclusions
• Radius of Holding Pattern (CHP and FTP) Global Hawk can’t meet 1.5NM turn radius above
18,000ft Above RAPCON airspace, separate procedures
should be used
• The Grand Forks UA procedures don’t add many conflicts to the RAPCON area
• Potential risk is found in many areas on the routes Important to note for the HITL scenario development
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HITL Recommendations
• Potential Areas of Risk to Study UA arrival at KRDR may conflict with KGFK arrivals Shadow arrival with other KRDR arrival
o New parallel runway operations Lost Link on departure may conflict with overflights Lost Link on arrival, regained at SCOTT
o Path SCOTT to IAF involves sequencing with KGFK arrivals Hold at IAF may conflict with KGFK arrivals Global Hawk Lost Link on departure
ANETA to GLIIB and LANKN to HONNE Path crosses the airspace and may conflict with KGFK arrivals
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For ANG-C41’s Phase 1 TaskDelivered Final Report
• Documents UAS chart validation study performed to support subsequent human-in-the-loop (HITL) for DOD
• FAA ANG-C41 planned, developed, conducted, and analyzed a set of concise iterative fast-time computer simulation experiments to perform this study
• Key research questions: Can the UAS fly the standardized procedures? What are their simulated impact on the NAS?
• Also, specific recommendations were made on potential areas of interest when performing the HITL experiment
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