LEC # | TOPICS | LEARNING OBJECTIVES |
---|---|---|
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 |