Smart UAV Development Smart UAV Development CenterCenter
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Cheol-Ho Lim, Director, SUDC, KARISeong-Wook Choi, SUDC, KARI
Kum-Won Cho, KISTI
Plan forPlan for
Aerospace e-ScienceAerospace e-ScienceAsia Pacific Advanced Network
Meetinge-Science Workshop
August 27, 2003
Smart UAV Development Smart UAV Development CenterCenter
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CONTENTS
Background
Trend
Objective
Work Scope
System
Budget
Demonstration Program
Smart UAV Development Program
Conclusion
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BACKGROUND
IT+ST -> Improvement of Engineering EnvironmentAerospace Technology requires large scale computing and data management -
> Difficult to use Isolated resourcesNeed to Construct Network based Design & Analysis System
Providing a Uniform Aerospace Infrastructure Integration & Management of Aerospace Resources Located in Multiple Organi
zations and AreasFacilitating Human Collaboration in Aerospace FieldsRemote Access and Operation of Aerospace Facilities and Instruments
Introduction of Grid Technology to Manufacturing Fielde- Manufacturing, e-CAD/CAM …EuroGrid, GEODISE, DAME, NASA IPG …
Increasing Aerospace Competitiveness by e-ScienceConversion of Existing Engineering Env. to New e-Science Env
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BACKGROUND
MOSTResearch
Infrastructure(KBSI)
National e-Science
N*Grid
Core Technology(Middleware, Supercomputer, Network)
MIC
Aerospacee-Science
(KARI)
e-Astrophysics
(KAO)…
Bioe-Sciecne(KRIBB)
e-Manufacturing
(KIMM)
MOST: Ministry of Science and TechnologyMIC: Ministry of Information and Communication
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TREND (U.S.)
NASA IPG(Information Power
Grid)
Environment of Real time Design,
Manufacturing, Maintenance of
Aircraft in Grid Base
Grid Services: Uniform access to distributed resources
Gri
d
Info
rmat
ion
S
ervi
ce
Un
ifo
rmR
eso
urc
eA
cces
s
Bro
keri
ng
Glo
bal
Q
ueu
ing
Glo
bal
Eve
nt
Ser
vice
s
Co
-Sch
edu
lin
g
Dat
a C
atal
og
uin
g
Un
ifo
rm D
ata
Acc
ess
Co
llab
ora
tio
n
and
Rem
ote
In
stru
men
t S
ervi
ces
Net
wo
rk C
ach
e
Co
mm
un
icat
ion
Ser
vice
s
Au
then
tica
tio
n
Au
tho
riza
tio
n
Security Services
Au
dit
ing
Fau
lt
Man
agem
ent
Mo
nit
ori
ng
ARC
SDSC
LaRCGSFC
KSCJSC
Boeing
NGIXNREN CMUGRC
NTON-II/SuperNet
NCSA
EDC
JPLMSFC
300 node Condor pool
IPG compute and data resources
DARWIN/DREAMdata server /
portalmetadata
Web user interface
instrument datastorage
user data access
authentication
Ames Wind Tunnels:- National Full-Scale Aerodynamics Complex- 9x7 ft Supersonic and 11 ft Transonic- 12 ft Pressure
SDSCcompute
anddata
storageresources
Users
NASA Ames
DARWIN: Developmental Aeronautics RevolutionizingWind-tunnels with Intelligent Systems of NASA DREAM: Distributed Remote Aeronautics Managements
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TREND (U.K.)
GEODISE, DAME
GEODISE : Grid based Aircraft Multi-
discipline Optimal Design System
DAME : Grid based Real-time Aircraft
Operation and Maintenance System
In flight data
Airline
Maintenance Centre
Ground Station
Global Network
Internet, e-mail, pager
DS&S Engine Health Center
Data centre
GEODISE: Grid Enabled Optimizationand Design Search for Engineering DAME: Distributed AircraftMaintenance Environments
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TREND (JAPAN)
ITBL(Information Technology Based Laboratory)Grid Based Supersonic Aircraft Design NAL: National Aerospace Laboratory
NIMS: National Institute for Materials Science JST: Japan Science and Technology Corporation JAERI: Japan Atomic Energy Research Institute
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OBJECTIVE
Construction of Aerospace e-Science
Construction of Design/Analysis Network for Aerospace
Vehicle Based on National Grid System
Collaborative Use of Aerospace Test Facilities and
Equipments Dispersed in Organizations and Areas (Institute,
Industry, Academia)
Construction of Infrastructure for Collaborative Use of
Information and Database for Aerospace Vehicle
Design/Analysis
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WORK SCOPE
SUB-OBJECTIVE WORK SCOPE
Aerospace Vehicle Design/Analysis Network
- Construction of Base for Integrated Optimal Design- Construction of Base for Aero/Stru/Prop/Cont. Analysis- Construction of Visualization System- Construction of User Interface (Middleware)
Infrastructure for Collaborative Use of Test Facilities and Equipments
- Construction of Online DB for Aerospace Test Facility- Construction of Base for Remote Access & Use of Aerospace Test Facility
Infrastructure for Collaborative Use of Information on Design/Analysis
- Build-up DB for Vehicle Design - Build-up Online DB for Technical Information- Build-up DB for Law and Spec. of Aerospace Vehicle- Build-up DB for Parts of Aerospace Vehicle- Construction of Online Data Center
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AEROSPACE ORGs in KOREA
AcademiaSNU, KAIST, …
AcademiaSNU, KAIST, …
Research InstituteKARI, ADD
Research InstituteKARI, ADD
IndustryKAI, Small Companies..
IndustryKAI, Small Companies..
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AEROSPACE RESOURCE
Human Resource
Test Facility
Application S/WA/C Design DB
KISTI
Supercomputer
High-Speed Network
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SYSTEM
Online DBCenter
Wind-tunnelEngine Test Cell…
CFD Performance
CAVE (VR)
Super-Com Cluster
A/C Design Code
Law, Spec
U.S., EURO, JAPAN…
AEROSPACEe-Science
AEROSPACEe-Science
Test Facility
Computing H/W
Design Tool
Analysis ToolAircraft Design DB
USER
Information
Human Resource
Visualization
Hig
h-Sp
eed
Net
wor
k
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PLAN for BUDGET
YEAR
SUB-OBJECTIVE2004 2005 2006 2007 2008 SUM
Design/Analysis Network
4.0 5.6 4.8 3.2 2.4 20.0
Collaborative Use of Test Facilities
1.6 2.4 2.4 0.8 0.8 9.0
Collaborative Use of Information on Design/Analysis
2.4 3.2 2.4 2.4 1.6 12.0
SUM 8.0 11.2 9.6 6.4 4.8 41.0
Unit : US M$
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DEMONSTRATION PROGRAM
Demonstration Programs in National Grid Project (N*Grid)
Grid Base Virtual Wind-tunnel : KAIST, KISTI, KARI
Grid Base Analysis of Strap-on Stage Separation : SNU, KISTI
Grid Base LES/DNS : PNU, KISTI
Grid Base Analysis of Large Scale Aerospace Structure : SNU,
KISTI
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N*Grid Infrastructure
N* GridN* Grid
•User Interface•Collaborative Environment
Huge Scale Simulation
•User Interaction•Input Handling•Parameter Update
•Preprocess Data
•Job Submission
•Scientific VisualizationStorage Device
Equipment
Cluster
Supercomputer
•Simulation Program
POHANG
SEOUL
SUWON
DAEJONCHEONJU
KWANGJUPUSAN
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Preliminary Results
Daejon
KREONet2
DFVLR Axial Fan
Full Body Airplane
Globus/MPICH-G2
Pusan
Chonbuk
5 10 15Processors
2
4
6
8
10
12
14
16
Sp
eed
-up
GS320-SP2(Onera M6)
Ideal Case Pohang
Seoul
Chonbuk N. Univ.: IBM SP2
KISTI: Compaq GS320
Computational Fluid dynamics based N*Grid Test-bed
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DEMONSTRATION PROGRAM (1)
Development of Optimal Configuration Design
Technology using Virtual Wind-tunnel
ResultsBuild-up Application Test-bed for Aerospace Field
Build-up Grid Portal
Grid based Flow Analysis on Korean Launch Vehicle
Applied TechnologyConstruction of Test-bed using GLOBUS Tool-kit and MPICH-
G2
Construction Portal using Aerospace Pre/Post Processor
Flow Analysis on the Korean Launch Vehicle using Grid
Based Domain Decomposition Method
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DEMONSTRATION PROGRAM (1)
KAIST
HeadPentium IV 2.4GHz
25 nodes
1GbpsKISTI
VenusPentium IV 2.0GHz
64 nodes
100Mbps 100Mbps
020406080
100120140160180200
KAIST KISTI Grid
MPICHMPICH-G2
• Performance of flow analysis (venus+head) - RAE 2822 Airfoil: N-S Simulation, 8 CPU
Before Optimization
After Optimization
Airfoil shape: 65% span station
Surface pressure contours: 65% span
station
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DEMONSTRATION PROGRAM (2)
Grid Base Analysis of Large Scale Aerospace Structure
Results
Construction of Grid Test-bed (256CPU)
Structure Analysis using VDD Grid System
Applied Technology
Construction of Campus Grid using PC-Cluster
Performance Analysis and Load Balancing using Grid
Communication Library
VDD: Virtual Design & Development
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DEMONSTRATION PROGRAM (2)
Cluster SystemCluster System
Distributed
PC Farm 1
Distributed
PC Farm 1
Design TerminalDesign Terminal
Pegasus Supercomputer
UserPoolPool
Data
VDD GRID System
Large-scale simulation
(Computing Grid)
Virtual Design
SNU Network
Grid Entry point
(GUI + Python)
Distributed
PC Farm 2
Distributed
PC Farm 2Cluster SystemCluster System
Cluster SystemCluster System
Departmental Computing Grid
duhpy
0.002551130.000878257
-0.000794614-0.00246749-0.00414036
Web Interface
Simulation of Mindlin Plate
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DEMONSTRATION PROGRAM (3)
Grid Base Analysis of Large Scale Aerospace Structure
Results
Construction of Grid Test-bed
Applied Technology
Parallelized LBM(Lattice Boltzmann Method) using MPICH-G2
Performance Analysis of International Grid Test-bed
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DEMONSTRATION PROGRAM (3)
Inflow
Dipole sound
Karman vortex
+
-
Force
■ Red color: positive sound pressure, blue color: negative sound pressure
■ Generation of sound
■ Pressure Fluctuation
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SMART UAV DEVELOPMENT PROGRAM
Program OverviewProgram Director : Cheol-Ho Lim, Dr. IngR&D Period : 2002. 6 – 2012. 6R&D Fund : Total 120 M$ USDSponsoring Ministry : Ministry of Science & Technology
R&D Stage
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SMART UAV DEVELOPMENT PROGRAM
Development of Advanced High Speed VTOL UAV Embedding Smart Technology
Low SafetyHigh Operating CostRunway DependentCollision Risk
Existing UAV
Safety a good as CommuterCost less than half of Helicopter’sVertical Takeoff and LadingCollision Avoidance
Smart UAV
Fully Autonomous FlightCollision AvoidanceHealth MonitoringSelf RestoringActive Flow & Noise ControlSmart Material & Structure
Smart Technology
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SMART UAV DEVELOPMENT PROGRAM
Technology Scheme
Mission Payload
GCSCOMM
ILS
SMART UAV
I1
I2
Broadband source d
L
High temperatureEpoxy
L : Gauge lengthd : Cavity length
Sensor output
Optical fiber Glass capillary tubeFBG
Gold deposition
I1
I2
Broadband source d
L
High temperatureEpoxy
L : Gauge lengthd : Cavity length
Sensor output
Optical fiber Glass capillary tubeFBG
Gold deposition
FBG/EFPI Hybrid Sensor
Active Separation Control
Smart Active Blade Tip
SMARC
MEMS
SMART TECHNOLOGY
Smart UAV System Smart Technology
Collision avoidsystem Intelligent
Control
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SMART UAV DEVELOPMENT PROGRAM
Research and Development Scheme
Smart Technology Spin-Offs(Aerospace,Transportation, IT, AI, Micro Device/Mechatronics …)
UAV Market(Public, Private, Commercial)
KARI SUDC
Government
Academy
Institute
Industry
InternationalCooperation
InternationalPartner
Domestic International
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SMART UAV DEVELOPMENT PROGRAM
Application of R&D Grid SystemCollaborative Use of Various Resources -> Overcome
Limitation of R&D Resource and Reduction of R&D CostCollaborative Use of Network, Super-com, Test Facility
DispersedConnection with National Grid Program of KISTI
Smart UAV R&D Grid
INDUSTRY
SUPER-COM
FACILITTY S/W
D/B
INSTITUTE
ACADEMIA
SUDC
Network
Network
Networ
k
Networ
kGRID
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CONCLUSIONS
Aircraft Development is System Integration -> Optimal Model for e-Science Application !!
Check-up Possibility of IT+ST through Demonstration Program 2002~2003
Reduction of R&D Cost by Sharing Resources Dispersed in Industry, Institute, and Academia
Utilizing Aerospace Vehicle Design/Analysis Technology by e-Science for National Aerospace Projects
Dramatic Reduction of Aircraft Development Time by enabling Multi-discipline Analysis and Design
Active Application of e-Science to Smart UAV Development Program
Providing Leading Model of e-Science to other area such as Shipbuilding, Automobile, Architecture,…)