| Part I: Introduction and Motivation |
| 1 |
Space Systems and Definitions |
Definition of architecture – ways of thinking about architectures; Notion of views
The different worlds of space (Commercial, Civil, Military) + architectures associated with them
Definitions of space systems and satellites – what is a satellite design
Description of different types and classes of space system architectures (communication, navigation, weather, remote sensing, launch)
Exercise in representing a simple architecture from several viewpoints |
| 2 |
Classic Solutions |
Classical space systems design (SMAD)
Issues with classical architecting (timescales, things missed, tradeoffs with technology, schedule, cost and risk)
Descriptions of successes and issues with the current process (SBIRS, Iridium, GPS)
Cost Estimating and why is it so difficult |
| Part II: A New Space Architecture Process |
| 3 |
Introduction to MATE |
Need for a new process
Stakeholders - attributes - utilities - tradespaces
Introduction to process - tradespace exploration - MATE-CON
Bounding of problem, selection of Attributes and Design Vector |
| 4 |
Applied Utility Theory |
Single attribute utilities; XTOS as an example; SpaceTug as an example
Multi attribute utility; XTOS as an example; SpaceTug as an example
GINA as a example of a utility theory
Issues with utility theory |
| 5 |
Modeling and Exploring the Tradespace |
Tradespaces; Multi objectives, performance, cost and Pareto fronts
Exploring the tradespace, lessons from the tradespace for XTOS and SpaceTug
TPF, Broadband, ATOS, BTOS as further examples of tradespace exploration |
| 6 |
Integrated Concurrent Engineering |
Integrated Concurrent Engineering
Link to SMAD (relationships used by chairs)
The MATE-CON chair and the changing definition of "requirements"
Exploring families of designs
XTOS and SpaceTug as examples
Concluding words on MATE-CON uses |
| 7 |
Examples - XTOS and SPACETUG and MATE-CON Simulation |
Review systems examined with tradespace exploration
Run XTOS and SpaceTug simulations |
| 8 |
Efficient Searches of Tradespaces |
Use of Optimization to help in the Engineering Design Process
Optimization Methods (Genetic Algorithms and Simulated Annealing)
Spacecraft Design Optimization
Distributed Space Systems Design Optimization
MMDOSA (as a way to search tradespaces)
Examples (Techsat 21, Broadband, TPF) |
| 9 |
Uncertainty and Risk |
Sources of Uncertainty
Clarity Test
Taxonomy of Uncertainty for aerospace products
Uncertainty and Risk
Treatment of Uncertainty in space companies
Advanced Discussion of Uncertainty
1) Irreducible Uncertainty
2) Portfolio Theory
3) Portfolio Applications |
| 10 |
Flexibility for Space Systems I |
Introduction and Definition
Taxonomy of flexibility
Real Options and Other Financial Tools |
| 11 |
Flexibility for Space Systems II |
Discussion of Homework 10
Flexibility expressed through on-orbit servicing
Provider and Servicer Perspective
Upgrading vrs life extension |
| 12 |
Policy Issues in Space System Architectures |
Definition of space policy from several perspectives
US National Space Policy
Another country space policy
Space Policy Heuristics
Policy Architectures and the interaction with technical architectures
Use of real options in policy analysis |