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INCOSE MBSE Grand Challenge Space Systems Working Group Entry and MBSE at JPL Presentation to Frontiers Workshop 2008 PowerPoint Presentation
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INCOSE MBSE Grand Challenge Space Systems Working Group Entry and MBSE at JPL Presentation to Frontiers Workshop 2008. Christopher L. Delp Jet Propulsion Laboratory California Institute of Technology Pasadena, California, U.S.A. Chris.Delp@jpl.nasa.gov. Space Systems Working Group Team.

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INCOSE MBSE Grand ChallengeSpace Systems Working Group Entry and MBSE at JPLPresentation to Frontiers Workshop 2008

Christopher L. DelpJet Propulsion Laboratory

California Institute of Technology

Pasadena, California, U.S.A.

Chris.Delp@jpl.nasa.gov

space systems working group team
Space Systems Working Group Team
  • International Group of Engineers
  • Commercial and Government
  • Students/Academic Team
    • MIT
    • Georgia Tech
sswg team
SSWG Team

Carlee Bishop

Chris Delp

Colette Wilklow

Craig Peterson

Dave Kaslow

Deborah A. Cowan

Harvey M. Soldan

James R. Scott

Jeff Estefan

John Brtis

John Keesee

Kenneth Meyer

Leo Hartman

Mahantesh Hiremath

Marc A. Sarrel

Mitch Ingham

Olivier de Weck

Ross Jones

Stephen Piggott

Sima Lisman

Lisa Weeks

Lisa Weeks

James Andary

Darryl Lakins

Elizabeth O'Donnell

Walker, Loren M

Yuuji Nishihara

Seiji Kamiyoshi

Evan Anzalone

Cin-Young.Lee

Kimberly A. Simpson

Alicia R. Allbaugh

Kyran J. Owen-Mankovich

Caley Burke

Peter Waswa

Chase Cooper

Abe Grindle

Henry Hallam

William Symolon

Gautier Brunet

Debarati Chattopadhyay Ben Renkoski

Kyle Volpe

Brent Tweddle

Michael Lack

Ariane Chepko

Michael Newman

Daniel Kettler

Philip Johnson

Frank Fan

Misha Leybovich

Theo Seher

Lauren Viscito

Isaac Asher

mbse challenge objectives
MBSE Challenge Objectives
  • Demonstrate solution to “Challenging” problems using MBSE
    • real world problem domain
    • non-trivial, broad application
    • shareable (e.g., unclassified, non-proprietary)
approach
Approach
  • FireSat Example (Space Mission Analysis and Design)
    • Realistic and Sharable
    • Use example as documented design
  • Meet and Model
  • JPL developed State Analysis
  • INCOSE Object Oriented System Engineering Methodology (OOSEM)
firesat documented examples
FireSat Documented Examples
  • requirements

From Space Mission Analysis and Design (SMAD), Third Edition, by Wiley J. Larson and James R. Wertz (editors).

firesat documented examples7
FireSat Documented Examples

From Space Mission Analysis and Design (SMAD), Third Edition, by Wiley J. Larson and James R. Wertz (editors).

firesat in sysml
FireSat in SysML
  • Communication
    • Requirements, behavior and structural elements are visible and traceable
    • Rich problem statement
    • Product oriented
  • Relationships
    • Opaque in text
    • Rich in Model
    • Standardized (no legend or invention required)
  • Reusable
    • Model packages can be exported and imported to other models
what is state analysis
What is State Analysis?
  • A model-based systems engineering methodology
    • Based on familiar principles from control theory
    • Complementary to the functional decomposition approach
    • Intended to help address the complexity challenge
  • It provides a methodical and rigorous approach for:

Modeling behavior in terms of system state vars & the relationships between them

state-based behavioral modeling

Capturing mission objectives in detailed scenarios motivated by operator intent

Describing the methods by which objectives will be achieved

goal-directed operations engineering

state-based software design

complexity controlled through simplification
Complexity Controlled Through Simplification
  • MBSE provides a centralized repository for mission information.
  • A modeling tool can present a project element (e.g., a requirement, a subsystem) and associated relationships
    • Avoid searching for information distributed over multiple documents.
  • This greatly simplifies creating and changing project elements and propagating changes to related elements.
msl tactical timeline
MSL Tactical Timeline
  • Mission Operations
    • Complex human organization
    • Tasks and timing are critical
      • Operating large rover
      • 10 instruments
    • Sequence drawings have proven popular
      • Capture current artifacts
      • Back fill model
      • Drive with model
gds modeling
GDS Modeling
  • New GDS Application
  • System Model of GDS
    • Understand scope of application
    • Deployment for ATLO and Operations
    • Future capabilities
      • Service Oriented Architectures
      • New applications
      • New mission requirements
successes
Successes
  • Demonstrating System Engineering using models for Space Systems
    • Built a dedicated team
  • Models benefits over documents
  • Exposing a variety of methods, techniques and artifacts
  • Participation has bred viral interest
challenges
Challenges
  • Collaboration and Interchange
    • Interfacing models
    • Moving between tools
    • Capturing portions from other tools
  • If it ain’t broke…
    • Process integrity
  • Training … not just in SysML
looking forward
Looking Forward
  • Modeling sub-systems in detail
  • Modeling Physics and Analysis
    • Integrating MIT/GaTech student team analysis model
  • Executing models
  • Continuing to add individuals interested in Space Systems!
world of models
World of Models
  • System models interchangeable and flexible
  • Vast libraries of engineering and physics models
  • System engineering will become a nimble and flexible organization
  • More time spent engineering