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Information Technology for Aviation

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'Perform leading-edge research in advanced computing systems and user ... Dr. Dave Neri: Fatigue Countermeasures. Dr. Judith Orasanu: CRM & Training ... – PowerPoint PPT presentation

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Title: Information Technology for Aviation


1
Information Technology for Aviation
  • David Alfano
  • Deputy Program Manager
  • Information Technology Base Program

2
Aero-Space Technology Pillars and Goals
Global Civil Aviation
Safety
Emissions
Noise
Capacity
Affordability
Revolutionary Technology Leaps
High-Speed
General Aviation
Design
Access to Space
Reusable Space Trans.
Revolutionary ST
3
IT Program Goal
Perform leading-edge research in advanced
computing systems and user environments,
revolutionary software technologies and
pathfinding applications that enable the
achievement of NASAs missions in Aero-Space
Technology
Integrated Design
Revolutionary Software
Advanced Computing
4
Information Technology
HIGH-END COMPUTING
HUMAN-CENTERED COMPUTING
AUTOMATED REASONING
Integrated Design Technology
Software Technology
Advanced Computing Technology
Primary Long-Term Goals Supported Reduce the
aircraft accident rate by a factor of 5 within 10
years, and by a factor of 10 within 20
years Provide next-generation design tools
and experimental aircraft to increase design
confidence, and cut the development cycle time
for aircraft and space transportation vehicles in
half
5
IT Program Projects
Integrated Design
Software
Advanced Computing
Analytical Tools and Environments for Design
(ATED)
Intelligent System Controls and Operations (ISCO)
Advanced Computing, Networking Storage (ACNS)
Integrated Instrumentation and Testing Systems
(IITS)
Software Integrity, Productivity, and Security
(SIPS)
6
Integrated Design Technology Virtual Prototyping
7
Design Cycle Improvement Example Rapid
Re-Design during a Wind Tunnel Test
Re-Design Concept
New Knowledge
Rapid Design
3 iterations in 2 months
Rapid Awareness
New Data
Model Parts
8
Virtual Flight Activity
Flight Simulation
Flight Control
Wind-Tunnel
IC
NASA GRC / Engine Performance
CFD Design Data
Intelligent Flight Control
Aircraft Synthesis
9
Software Technology Intelligent Flight Controls
Challenge Develop a flight control approach that
can efficiently handle off nominal and
unanticipated changes in air vehicle operating
environments and hardware
  • Technical Goals
  • Develop a flight control concept that uses neural
    network technology to identify aircraft stability
    and control derivatives which allow optimal
    aircraft performance under a wide range of flight
    conditions
  • Develop a learning neural network which can
    update aircraft stability and control derivatives
    during flight and in response to off nominal
    events
  • Piloted flight demonstration using the NASA F-15
    ACTIVE test aircraft

10
Software Technology Intelligent Flight Controls
  • Impact
  • Enhanced Safety
  • Reduced Cost

Develop and flight demonstrate a flight control
technique that can effectively identify aircraft
stability and control characteristics using
neural networks and utilize this information to
optimize aircraft performance.
11
Software Technology Remote Aviation Help Desk
Remote Aviation Help Desk
Airport Hangars
Airline MOC
Boeing Rapid Response Center
Virtual Iron Bird
Remote Displays
Remote Displays
Digital White Board
Boeing Maint. Syst.
CAD/CAE table
Digital White Board
Wireless Digital - Video - Audio -
Non-Destructive Imaging - Sketchpad - Portable
Maintenance Aid
Digital White Board
CAD/CAE table
United Maint. Syst.
Wireless Bridge
CAD/CAE Printer
CAD/CAE Printer
CAD/CAE Printer
Ames Aviation Extranet the IPG
Ver 2.0
12
Airport Approach Zone Camera System
13
Software Technology NAS Simulation Environment
Simulations, Models Experimental databases
Virtual National Air Space VNAS
14
Daily NAS Simulation Baseline Generation
15
SIPS Advanced Aerospace Software Synthesis
Verification Technology
Strategy for Impact
Langley AILS Verification
  • Demonstrate potential impact on Aerospace (e.g.,
    case studies, industry/research/NASA
    collaborations)
  • Do research to make technology cost-effective
  • Already cost-effective when applied to
    limited-scale models, e.g. top-level
    architecture, digital hardware subsystems.
  • Core algorithms need to scale up to larger
    models.
  • Reduce human labor cost and expertise of using
    algorithms
  • Provide objective basis for certification based
    on largely automated technology and/or reusable
    core analysis.

Ames DEOS Verification
Scalable Deductive Program Synthesis
16
Advanced Computing Computational Grids
Computers
Supercomputers Experimental Facilities
High-Speed Networks
Collaborative Environments
Databases Mass Storage
17
Advanced Computing Computational Grids
18
Breakout Sessions
  • 1 Next Generation Capacity Technologies
  • Dr. Tom Edwards Moderator
  • Dr. Heinz Erzberger Direct-To Tool
  • Tom Davis Multi-Center Traffic Management
    Advisor Tool
  • Dr. Len Tobias Collaborative Arrival Planner
    Tool
  • 2 Aviation Human Factors
  • Dr. Terry Allard Moderator
  • Dr. Dave Neri Fatigue Countermeasures
  • Dr. Judith Orasanu CRM Training
  • Drs. Beau Watson and Roger Remington Vision and
    Cognition
  • 3 Information Technologies for Aviation
  • Dave Alfano Moderator
  • John Kaneshige Intelligent Flight Controls
  • Dr. Dave Korsmeyer Design Cycle Improvements
  • Yuri Gawdiak Data Sharing
  • 4 Next Generation Capacity Technologies
  • Dr. Tom Edwards Moderator
  • Dr. Heinz Erzberger Direct-To Tool
  • Tom Davis Multi-Center Traffic Management
    Advisor Tool
  • Dr. Len Tobias Collaborative Arrival Planner
    Tool
  • 5 Capacity Distributed Air Ground Traffic
    Management
  • Steve Green Moderator
  • Steve Green Distributed Air-Ground Traffic
    Management
  • Dr. Ev Palmer Linking Air Ground Automation
  • Sandy Lozito Shared Air-Ground Separation
    Responsibilities
  • 6 Improved Capacity Through Vertical Flight
  • Ed Aiken Moderator
  • Sandy Hart RD for Rotorcraft Safety
  • Mark Betzina Tiltrotor Source Noise Abatement
    (Wind Tunnel Tests)
  • Bill Decker Tiltrotor Operational Noise
    Abatement (Flight Simulation Tests)
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