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Maximizing Science Data Return for MRO

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MRO will generate 25-fold increase in Science Data Generation2. Deep ... Earth occultation times. Automated Interface. Takes inputs and parses out to simulator ... – PowerPoint PPT presentation

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Title: Maximizing Science Data Return for MRO


1
Maximizing Science Data Return for MRO
  • Cherissa Fischer
  • Ball Aerospace Technologies Corp.

2
Introduction
  • MRO will generate 25-fold increase in Science
    Data Generation2
  • Deep Space Network
  • Demand up to 300 of capacity in 2003 20043
  • Expensive resource
  • Need to optimize spacecraft system to maximize
    science data returned to Earth
  • Cost prohibitive to maximize performance of
    individual subsystems
  • http//www.space.com/scienceastronomy/solarsyste
    m/mro_spysat_010716-3.html
  • 3 http//www.space.com/news/spaceagencies/dsn_cru
    nch_001204.html

3
Mars Reconnaissance Mission
  • Launch 2005
  • Multiple Science Instruments1
  • CRISM spectrometer
  • HiRISE surface images at 20 to 30 cm
  • SHARAD subsurface sounding radar
  • MCO instrument re-flights
  • PMIRR Pressure Modulator Infrared Radiometer
  • MARCI Mars Color Imager

1 ftp//ftp.hq.nasa.gov/pub/pao/pressrel/2001/01-
220.txt
4
Answer Discrete Event (DE) Modeling
  • Used in computer and computer network design
  • Great potential for improving spacecraft design
  • Allows Trade Studies during build phase of a
    program
  • Differing approaches may be analyzed quickly
  • Impacts of proposed changes may be evaluated
  • Allows for verification of the model during build
    and test phases
  • Utilize data from planned tests to verify model
    accuracy
  • Identify the impact of design changes that occur
    during build
  • Allows for what if analysis for unplanned
    events and anomalies during operational phase
  • Recovery from equipment failures
  • Optimum scheduling of science experiments
  • DE modeling is a tool that enhances existing
    practices and improves a spacecraft programs
    schedule and budget performance

5
DE is Affordable
  • Enabling Advances have recently made this
    possible at reasonable cost
  • Powerful desktop computers
  • Commercial Off-The Shelf software
  • Example MATLAB and Simulink
  • These advances have also made such analysis
    possible in a reasonable time
  • DE model named DataFlow was quickly created and
    used to analyze spacecraft performance
  • Less than 60 hours of engineering labor
  • The basic model presented is able to pinpoint
    specific, inexpensive areas for improvement in a
    cost effective way

6
DE Model Requirements
  • Easy to Input Data
  • Excel interface
  • GUI
  • Model all relevant subsystems
  • Instruments
  • CDH
  • Telecommunications
  • Orbit characteristics
  • Model Bottleneck Areas
  • How long to read image out of image buffer onto
    spacecraft bus
  • Telecommunications opportunities
  • Spacecraft on-board memory storage capacity

7
DE Modeling Process
  • Input Spacecraft Characteristics
  • Specify payload operations
  • Specify engineering rates
  • Specify primary mission segment to model (DSN
    availability)
  • Automated Interface
  • Takes inputs and parses out to simulator
  • Perform trades on parameters of interest
  • Input Mission Characteristics
  • DSN Schedule
  • DSN station data rates
  • Earth occultation times

Simulator
8
The DataFlow Model
  • Begin discussion of DataFlow DE model with
    Simulator
  • Created in MATLAB/Simulink
  • 60 hours to create tool and interfaces
  • Short Learning Curve 1-2 weeks for average
    engineer
  • Input Spacecraft Characteristics
  • Specify payload operations
  • Specify engineering rates
  • Specify primary mission segment to model (DSN
    availability)
  • Automated Interface
  • Takes inputs and parses out to simulator
  • Perform trades on parameters of interest
  • Input Mission Characteristics
  • DSN Schedule
  • DSN station data rates
  • Earth occultation times

Simulator
9
DataFlow Simulator
10
The DataFlow Model
  • Input Spacecraft Characteristics
  • Specify payload operations
  • Specify engineering rates
  • Specify primary mission segment to model (DSN
    availability)
  • Automated Interface
  • Takes inputs and parses out to simulator
  • Perform trades on parameters of interest
  • Input Mission Characteristics
  • DSN Schedule
  • DSN station data rates
  • Earth occultation times

Simulator
11
DataFlow Interface to Users
  • Input parameters aliased
  • Values can be changed outside Simulink GUI
  • Perform trade studies using automated interface

12
DataFlow Spacecraft Characteristics Input
13
The DataFlow Model
  • Automated Interface
  • Matlab Scripts
  • Accepts Input Mission Day
  • Parses Excel inputs out to simulator
  • Runs Simulator
  • Iterates parameters of interest for use in trade
    studies
  • Input Spacecraft Characteristics
  • Specify payload operations
  • Specify engineering rates
  • Specify primary mission segment to model (DSN
    availability)
  • Input Mission Characteristics
  • Text file sorted by mission day

Simulator
14
DataFlow Example Output Graphs HiRISE
Spikes indicate picture being taken
  • Data gradually read out of instrument buffer
  • Dependant on s/c bus transfer capability

15
DataFlow Output Graph Data Storage and DSN
Availability
Transmitted data read out of memory
Incoming data stored in s/c memory
16
Systems Analysis Using DE
  • Example Problem
  • Command and Data Handling subsystem design has a
    certain maximum spacecraft memory storage
    capacity (with margin)
  • Telecommunications subsystem design can downlink
    data at a given rate
  • Systems analyst creates DE model similar to
    DataFlow
  • Output graphs used to analyze spacecraft design
    from systems perspective

17
Example Problem Output Graphs
Max Storage Capacity
Memory completely read-out before DSN window
closes
Gaps in data transmitted to Earth because there
is nothing in memory to transmit
18
Example Problem Possible Actions
  • Option one add extra memory board to CDH
  • Small increase in cost
  • Less expensive than entire CDH upgrade
  • Option two downgrade telecom subsystem
    performance
  • Give extra back to program
  • Option three schedule fewer DSN hours
  • Give extra back to program
  • Trades performed before subsystems are built

19
Future Direction
  • DE model grows with spacecraft throughout its
    design process
  • Subsystem Blocks
  • Graphical representation of a complex group of
    Simulink blocks
  • Example Accumulator block in DataFlow simulation
  • Spacecraft Block Library
  • Speeds creation of future spacecraft models using
    subsystem blocks from previous DE models
  • Optimization tools
  • Ground system operations
  • Science data from DSN expedited to scientists
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