Smart UAV Development Center 1 Cheol-Ho Lim, Director, SUDC, KARI Seong-Wook Choi, SUDC, KARI...

Smart UAV Development Smart UAV Development CenterCenter

1

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


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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


4

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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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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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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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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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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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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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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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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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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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,…)

Smart UAV Development Center 1 Cheol-Ho Lim, Director, SUDC, KARI Seong-Wook Choi, SUDC, KARI...

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