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ATLANTIDA
Project Overview
UAS 2011
Boeing Research & Technology Europe
Jun 2011
ATLANTIDA - Motivation - perspective in air vehicle trajectory
management
Engineering, Operations & Technology | Boeing Research & Technology
BR&T Europe
Current situation in ATM
• Advances in AVs’ technology contrast with artisanal AV operations management
• Huge inefficiencies
Room for improvement
• Predictability of aspects relevant to AV operations almost exclusively provided by
humans
• Very tactical decision making
• Inability of third parties others than ATCOs to take part in decision making
• Inability of humans-in-the-loop to exploit large amounts of information
• System limitations largely impacting system QoS performance
Users strive to adjust to the limitations of a system that should instead
accommodate their preferences
Foreseen Demand of commercial air traffic by 2025: more than double the
current volume
Current ATM operational concept deemed unable to cope with the foreseen
increase in commercial air transportation demand
Copyright © 2010 Boeing. All rights reserved.
BR&TE Presentation.ppt | 2
management
BR&T Europe
Currently envisaged way forward
The future Trajectory-Based Operations (TBO) paradigm
• Aircraft trajectory becomes the primary airspace resource (TBO)
• Flexible, capable of accommodating user preferences (UPTs)
• Users must be enabled to actively participate in the decision making process (CDM)
• Focused on strategic trajectory management (20min to 2h look ahead)
• Human roles shift from pro-active to supervisor/decision maker
• Flight Management and Traffic management functions assumed by advanced
automation tools (DSTs)
• Improved predictability leading to reduced safety buffers
• Integration of distributed functions through a net-centric, service-oriented
architecture (SWIM)
management
BR&T Europe
FMS
Baseline TBO scenario
Pilot
Data
COM
ATCO
ATCO
Ground Automation System
management
BR&T Europe
FMS
Downlink of UPT and conflict detection
Pilot
User
Preferred
Trajectory
Data
COM
Conflict!
ATCO
ATCO
management
BR&T Europe
FMS
Trajectory deconfliction and uplink of ATC constrains
Pilot
AT or ABOVE FL290
Data
COM
ATC
Constrains
ALT 3500 FT ASL
CTA 09:45:15
SPD 180 KCAS
ATCO
ATCO
management
BR&T Europe
FMS
Onboard re-planning and downlink of updated UPT
Pilot
New
Preferred
Trajectory
AT or ABOVE FL290
Data
COM
ALT 3500 FT ASL
CTA 09:45:15
SPD 180 KCAS
ATCO
ATCO
management
BR&T Europe
FMS
Checking and acknowledgment
Pilot
Data
COM
OK
ATCO
ATCO
Motivation - perspective in air vehicle trajectory management
BR&T Europe
Key technical issues:
1. How to enhance AV trajectory predictability in support to advanced automation?
2. How to describe, predict, exchange, negotiate and execute AV trajectories?
3. What information needs to be exchanged over a net-centric SOA to realize TBO?
4. What shall it mean in terms of air-ground datalink requirements?
5. Which overall QoS performance can be expected?
9
ATLANTIDA – Technical objectives and main R&D areas
•
•
Purpose
Research Topics
Exploit UAVs to enable a low-cost experimental
platform for ATM R&D
Develop and demonstrate advanced ATM and
UAS technologies
•
ATM and UAS concepts and technology
•
Net-centric, service-oriented integration infrastructure
•
Advanced flight management architectures and automation
•
Advanced flight control architectures and automation
•
Advanced traffic management architectures and automation
•
Advanced trajectory prediction technology
•
Advanced analytical means based on hybrid real-time/fast-time hardware/human-inthe-loop SIM
•
Advanced experimental means based on real flight trials with UAS
•
Use case studies, tradeoff analysis and demos
Target features
•
•
•
•
•
•
•
BR&T Europe
Automated management of 5 UAVs and synthetic
traffic simulating an extended high-density
Terminal Maneuvering Area (TMA)
Replication of different conflict pattern in
converging traffic and demonstration of the
necessary conflict detection & resolution as well
as sequencing & scheduling automation
mechanisms
Emulation of the CNS (datalink, RNAV, ADS-B)
and automation (FMS, FDPS) infrastructures
Precision aircraft performance model and
advanced trajectory prediction infrastructure
based on formal description of the aircraft intent
by means of the AIDL (Aircraft Intent Description
Language)
Collaborative trajectory management through
intent synchronization with involvement of the
AOC, subject to constrains and fairness
objectives
Active safety net through sense & avoid
techniques
Comparison of flight trials versus simulation
based on quantitative models of all the aspects
involved in the management of aircraft operations
The ATLANTIDA Consortium
BR&T Europe
Partners
Subcontractors
System
Integrators
Equipment
Manufacturers
Tecnobit (Embedded Avionics HW)
Air Vehicle
Manufacturers
• Polytechnic University of Madrid (UPM ETSIA & ETSIT)
• University of Seville (AICIA GRVC, SA, GTE & Julietta)
• University Rey Juan Carlos (URJC Kibele & DEIO)
IT Specialists
• University Carlos III of Madrid (UC3M-GIAA)
• Autonomous University of Barcelona (UAB-ETSE)
Air Vehicle
Operators
• University of Cantabria (UC-TLMAT)
• University of León (ULE-AERO)
• University of Castilla-La Mancha (UCLM-I3A)
Aerospace
Consultancy
• Consejo Superior de Investigaciones Científicas
(CSIC-IAA)
• Robotiker Tecnalia
HMI Specialists
• Fundación CTA
• Innaxis Research Institute
17 Companies bringing key skills under the lead of
Boeing Research & Technology Europe
Academia
16 Aerospace and IT Departments of Spanish
Universities and private R&D organizations
Administrative
Support
I+D+i
The ATLANTIDA Consortium - Project budget and funding
BR&T Europe
 28.9M Euro Budget
 44% funded by the Spanish Ministry of Industry through its Center for the
Industrial and Technological Development (CDTI)
Isdefe
MDU
Catón
Aerovision
Iberia
Integrasys
QUALITAS
Indisys
BRTE
Aertec
INSA
AES
TTI
Altran
GMV
TCP
Atos
Indra
ATLANTIDA – Systems Deployment (Flight & Ground Platforms)
BR&T Europe
• 26 systems interconnected throw a NET-Centric Communication infrastructure (SWIM)
• 7 + 1 onboard systems
• 16 + 1 ground systems
• 5 kind of users identified (AVOP, ATCOP, BAVOP, SIMOP, ANALYST)
• 4 analisys and support tools (ATB, STG, ATK, APMTK)
NAV Sensors
COMAIR
EFTS
Devices
Actuators
SURAIR
NAVAIR
FM
FCS
TCIAIR
FDRS
EFTS
User-preferred aircraft intent
DES Engine
SWIM
SIMHMI
STG
SIMOP
Deconflicted aircraft intent
COMGND
NAVGND
NASRC
SURGND
CNSMPS
DAIS-DFIS
DMET
DAPM
TCIGND
TM
UOC
ATFM
Alert
SAR
MISRC
ATCO
RFMS
AVOP
ATLANTIDA - Experimental means (ground) – Ground platform
BR&T Europe
Experimental means (ground) – BR&TE airspace lab
BR&T Europe
BR&TE airspace lab. – Under construction –
The airspace management automation lab is placed at
BR&TE facilities in Madrid. It encompasses two rooms;
the a rear one, called Lab B is provided with a U-table to
exhibit the different ATLANTIDA services that integrate
the ground segment. The main room, called Lab A can be
enlarged by adding up to the two adjacent meeting rooms
and is set up to exhibit the two more relevant control
positions: traffic management (analogous to an air traffic
controller position) and remote flight management (UAV
operator).
The lab is equipped with advanced multimedia systems
and is provided with wide band Internet access as well as
with a dedicated satellite connection, which can
communicate with the ATLANTIDA mobile unit within a
range that includes all the terrestrial area covered by the
Hispasat satellites.
15
ATLANTIDA - Experimental means (air) – Hardware
BR&T Europe
ATLANTIDA Experimental Avionics (Critias). A powerful integrated avionics
plaftorm whose responsibility is the autonomous control of the aircraft and the
trajectory negotiation capability with the ground based automation system
according to the Trajectory Based Operations paradigm which is to be
demonstrated over the course of the project.
Navigation sensors auxiliar data
acquisition unit. Is an experimental
platform which integrates the navigation
sensors selected in the project for its
integration in the avionics platform (Critias)
Its purpose is to provide raw sensor data
information for its analysis and validation of
the set of sensors.
Backup Autopilot. This backup
autopilot is used in early phases
of the project aimed at identifying
aircraft performance models as
well as to calibrate the
ATLANTIDA Navigation System.
Communcations System. This
communications unit integrates 2 long
range high throughput COTS RF
modems, responsible for
publish/subscribe, request/reply
communications respectively.
Backup ground station
paired to the backup
autopilot unit..
ATLANTIDA - Experimental means (air) – Flight platform instance #1: KUAV-2
BR&T Europe
KUAV-2 (Diamond Katana DA-20 model scale 1:3)
Span [m]: 3.90
PL [Kg]:
Longitude [m]: 2.65
Fuel Volume [l]:
Height [m]: 0.78
Engine Power [W]]:
Takeoff Method: Conventional
Electrical Power [W]:
Landing Method: Conventional
Autonomy [h]:
Landing Gear: Tricycle – Fixed
Min Speed [Km/h]:
High-Lift Devices: Slotted flaps
Max Speed [Km/h]:
Speed Brakes: N/A
Max Altitude [m]:
MTOW
[Kg]:
65
Kg
TKOF
Distance [m]:
29
TBD
14,710
1,500
8-13
50
195
4,100
120
OEM:
Modified by:
Airframe:
Power Plant:
Fuel Supply:
Propeller:
Electrical Power Source:
Parachute:
Interior Volume [l]:
Max Interior Box [m]:
TBD
Polytechnic University of Madrid (ETSIA)
Composite fiberglass/polyester and aluminum
Single engine – 3w-157i-B2TS
Pump – TBD
Pulling prop – Model TBD
Brushless alternator with LiPO backup battery
TBD
41
0.45 x 0.35 x 0.20
KUAV-2 acceptance flights – Marugán (Mar 2010)
BR&T Europe
18
ATLANTIDA - Experimental means (air) – Flight platform instance #2: Fulmar C1
BR&T Europe
Fulmar C1
© AEROVISION Company proprietary information
Span [m]:
Longitude [m]:
Height [m]:
Takeoff Method:
Landing Method:
Landing Gear:
High-Lift Devices:
Speed Brakes:
MTOW [Kg]:
3.10
PL [Kg]:
1.2
Fuel Volume [l]:
0.5
Engine Power [W]]:
Elastic launcher Electrical Power [W]:
Recovery net
Autonomy [h]:
Belly landing
Min Speed [Km/h]:
Flaps
Max Speed [Km/h]:
Flaps
Max Altitude [m]:
19
TKOF Distance [m]:
6
4.5
2000
50
5
60
150
3400
6
OEM:
Modified by:
Airframe:
Power Plant:
Fuel Supply:
Propeller:
Parachute:
TBD
Aerovision
Carbon Aramida Prepreg
Single engine 28 cc. 2.T
Pump
Pusher Prop
Dynamo & Batteries
N/A
5
| 19
1 Box 0.7 0.15 0.50 & 2 Boxes 0.7 BR&TE
0.15Presentation.ppt
0.24
ATLANTIDA - Experimental means (air) – Flight platform instance #2: Fulmar C1
BR&T Europe
Experimental means (air) – Flight platform instance #3: Mugin
BR&T Europe
Mugin
Span [m]: 3.00
PL [Kg]: 5
Longitude [m]: 2.5
Fuel Volume [l]:
Height [m]: 0.73
Engine Power [W]]:
Takeoff Method: Conventional
Electrical Power [W]: N/A
Landing Method: Conventional
Autonomy [h]: 1
Landing Gear: Tricycle – Fixed
Min Speed [Km/h]:
High-Lift Devices: N/A
Max Speed [Km/h]:
Speed Brakes: N/A
Max Altitude [m]:
MTOW
[Kg]:
20
TKOF
Distance [m]:
OEM:
Modified by:
Airframe:
Power Plant:
Fuel Supply:
Propeller:
Parachute:
BR&TE
Wood & glass fiber skin
2 cylinders conventional rotary engine
2-blade pusher prop
N/A
N/A
ATLANTIDA - Experimental means (air) – Flight platform instance #3: Mugin
BR&T Europe
ATLANTIDA – FCS & Trajectory prediction Flight Tests
BR&T Europe
• AIDL based Flight Control
• Flight Control Calibration
• Flight Control preliminary gains
• 6DoF Aircraft Performance Model identification
• Navigation System Calibration (state estimator)
• AIDL Trajectory Prediction
• 3DoF Aircraft Performance Model identification
Flight Tests – AIDL Bearing based holding pattern
BR&T Europe
Flight Tests – AIDL Geodesic line based holding pattern
BR&T Europe

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