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INCOSE MBSE Grand Challenge Space Systems Working Group Entry and MBSE at JPL Presentation to Frontiers Workshop 2008

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 Challenge Space Systems Working Group Entry and MBSE at JPL Presentation to Frontiers Workshop 2008

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  1. 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

  2. Space Systems Working Group Team • International Group of Engineers • Commercial and Government • Students/Academic Team • MIT • Georgia Tech

  3. 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

  4. MBSE Challenge Objectives • Demonstrate solution to “Challenging” problems using MBSE • real world problem domain • non-trivial, broad application • shareable (e.g., unclassified, non-proprietary)

  5. 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)

  6. FireSat Documented Examples • requirements From Space Mission Analysis and Design (SMAD), Third Edition, by Wiley J. Larson and James R. Wertz (editors).

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

  8. 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

  9. Use cases

  10. Requirements

  11. Mission Context

  12. Fire Hunting

  13. 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

  14. State Effects

  15. 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.

  16. Mars Science Lab

  17. Mars Science Lab

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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!

  23. 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

  24. Back Up Slides

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