UASLossofLink(UL2) ProgressReport$ · 2012-05-12 · UASLossofLink(UL2) ProgressReport$!...
Transcript of UASLossofLink(UL2) ProgressReport$ · 2012-05-12 · UASLossofLink(UL2) ProgressReport$!...
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UAS Loss of Link (UL2) Progress Report Prepared for: Dr. Laskey – Systems 798 Sponsor: Andy Lacher (MITRE CorporaCon) March 8, 2012
Rob Dean Steve Lubkowski Rohit Paul Sahar Sadeghian
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Background • MITRE CorporaCon • This project is being sponsored by The MITRE CorporaCon, which is a not-‐for-‐profit organizaCon that manages Federally Funded Research and Development Centers (FFRDCs).
• Unmanned AircraV System (UAS) • A UAS is remotely piloted from ground staCons via a real-‐Cme command and control (C2) data link.
• If the link between the ground staCon and UAS is lost, the aircraV becomes autonomous unCl the link is re-‐established.
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Problem De?inition • When an Unmanned AircraV (UA) becomes autonomous, it becomes unpredictable to Air Traffic Control (ATC) • ATC cannot adequately control airspace • Risk of a loss of separaCon or collision • Unnecessary rerouCng of air traffic • Excess workload for ATC • Creates a potenCal risk and/or safety hazard
• Standardized procedures for loss of link situaCons are necessary • Events become more predictable/easier to manage for ATC • Standardized procedures assist in bringing UAS to commercial airspace in greater numbers
• Develop methodology for evaluaCng loss of link procedures 3
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Approach • QualitaCve • Interviews to determine metrics from different stakeholders
• Global Hawk Pilot • ATC • UAS Experts • Data Specialists
• Absolute/Binary • Determine thresholds that must be met
• Technical • Develop simulaCons that analyze individual procedures
• Based on specific metrics (predictability, ATC workload)
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Scope • In Scope
• Within non-‐segregated civil airspace-‐ NaConal Airspace System (NAS)
• Primary focus on UAS that are capable of extended flight operaCons in Class A airspace
• To test/evaluate our approach with proposed procedure
• Out of Scope • IdenCficaCon of opCmal procedure for loss of link situaCons
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Expected Results • Set of metrics that are important to UAS stakeholders • A methodology that can be used to evaluate procedures • Repeatable and adaptable to different procedures • Capable of being used for further research and analysis by the sponsor
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Next Steps from Proposal • ConCnue meeCng with Sponsor
ü Met with sponsor to discuss technical approach ü Got approval for project proposal
• Develop FuncConal Requirements for evaluaCon methodology ü Developed and finalized both funcConal and project requirements
• Set up meeCngs with Subject Maher Experts (SMEs) ü Created quesConnaires for each SME ü Interviewed all five SMEs recommended by our sponsor ü Had several follow-‐on interviews with people recommended by SMEs
• Finalize draV of project proposal ü Finalized project proposal
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SME Interviews • Met with all the SMEs recommended to us by our sponsor: • Global Hawk UAS pilot • ATC human-‐in-‐the-‐loop experiment analyst • UAS loss of link data analyst • Lead developer of automated ATC tool • Traffic flow management lead architect
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Modeling • Technical modeling approaches were based on: • Feedback from sponsor • Interviews with SMEs
• UL2 team decided to focus on two main metrics: • Predictability • Air Traffic Control workload
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Predictability Model -‐ Timeline UAS Lost Command and Control Link
UA
UAS
Pilot
Air T
raffic
Control
UA performs Maneuver 2Pilot Identifies UA has lost link UA recognizes lost link situation UA performs Maneuver 1
Pilot identifies UA has lost link
Pilot tries to Contact ATC
UA broadcasts it has lost link
Controller identifies UA with lost link
UA performs Maneuver 1
Controller anticipates UA Maneuver 1
UA performs Maneuver 2
T1 T2 T3 T4 T5 T6 T7
Time to identify lost link situation
distribution
Time before expected Maneuver 1distribution
UA losses command and control link with ground station
T0
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Predictability Model -‐ Details • Pseudo-‐measure for predictability will be Cme • Time it take for the controller to realize the UA is in a loss of link situaCon
• T4-‐T3 • The difference between the expected Cme the UA will make its next
maneuver and actual • T6-‐T5
• Input • Controller reacCon Cmes to UA signaling loss-‐of-‐link
• Outputs • Times of interest:
• T3, T4, T5, T6
• To enhance the model, the model will also include the possibility of conflict • Tc is the Cme to conflict • Analyze the probability the UA will be in conflict before the controller
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Predictability Model -‐ Sample Output
Area of Interest
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Time (seconds)
Occurrence (#
)
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airspaceAnalyzer – Controller Workload • SimulaCon tool developed by MITRE to automaCcally separate, sequence, and space aircraV
• Measures sector complexity based on the amount of effort required to separate traffic
• Evaluates the impact of changes to sector on controller workload. Examples of potenCal changes include: • New Traffic Flows • New Sector Boundaries • Airspace RestricCons • Moving weather systems
• What about UAS?
airspaceAnalyzer Sample Display
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airspaceAnalyzer – Adaptation for UAS
• Tool can be used to evaluate the impact of a specific UAS loss of link procedure on sector complexity and controller workload
• Specific metrics can be gathered to evaluate the increase in controller workload if UA goes lost link • Lateral separaCon effort • VerCcal separaCon effort • Lateral spacing effort • VerCcal spacing effort
• Some maneuver uncertainty can be modeled by adjusCng the amount of protecCon required for UA (e.g. increase from 5 NM to 10 NM in En Route airspace)
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Schedule
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Earned Value Management
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Next Steps • ConCnue meeCng with Sponsor • Complete proof of concept & develop predictability model • Adapt scenarios for airspaceAnalyzer • Introduce our models to sponsor’s UAS Team for feedback • Start documenCng our methodology and assemble our report
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Questions?
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