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 Space System Architecture and Design  posted by  member150_php   on 2/24/2009  Add Courseware to favorites Add To Favorites  
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Abstract/Syllabus:

Hastings, Daniel, 16.892J Space System Architecture and Design, Fall 2004. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed 07 Jul, 2010). License: Creative Commons BY-NC-SA

Space System Architecture and Design

Fall 2004

The Terrestrial Planet Finder formation-flying infrared interferometer.
The Terrestrial Planet Finder formation-flying infrared interferometer, set to launch before 2020. The TPF served as an example for the class discussion on tradespace exploration. (Image courtesy of NASA's Web site.)

Course Highlights

This course features readings and lecture materials which support and frame its weekly discussions.

Course Description

Space System Architecture and Design incorporates lectures, readings and discussion on topics in the architecting of space systems. The class reviews existing space system architectures and the classical methods of designing them. Sessions focus on multi-attribute utility theory as a new design paradigm for space systems, when combined with integrated concurrent engineering and efficient searches of large architectural tradespaces. Designing for flexibility and uncertainty is considered, as are policy and product development issues.

Technical Requirements

Special software is required to use some of the files in this course: .xls.

Syllabus

Audience

  1. Specialists in architecting and designing space systems
  2. Graduate students learning about space system architecting and design

Class Lecture Map

Classes are mapped into a number of 2 hour lectures/seminar discussions.

Course Description

Prerequisite: Permission of Instructor

H-Level Grad Credit

"Space System Architecture and Design" is a lecture, reading and discussion subject on topics in the architecting of space systems. The class reviews existing space system architectures and the classical methods of designing them. The course focuses on use of multi attribute utility theory as a new design paradigm for the space systems when combined with integrated concurrent engineering and efficient searches of large architectural tradespaces. It considers topics such as design of flexibility into the architecture, resolution of uncertainty (technical, economic etc.) in the architectures, and the integration with policy issues and product development issues. The class is an excellent front end for 16.89.

Grading Policy

ACTIVITIES PERCENTAGES
Written Homework 50%
Class Participation and Reading 50%

It is expected that class reading will be done before each class session.

Learning Objectives

  • Critique existing design and architecture determination methods applied to space systems
  • Use a new framework, and choose and use appropriate new tools, to determine optimal space architectures
  • Explain and model the impact of factors such as uncertainties, policy decisions, and the need for robustness and flexibility on optimal architectures

Measurable Outcomes

  • Explain current space systems architecture methods and their problems and limitations

  • Set up and justify a tradespace analysis using functional system attributes, user utilities, and a scoped and quantified design vector

  • Choose and use appropriate tools for analysis of the tradespace, e.g. several of Quality Function Deployment, Multi-attribute Utility Theory, N-squared or Design Structure Matrix analysis, existing analysis tools and software, and optimization tools and methods
  • Analyze a simple tradespace using the Multi-Attribution Tradespace Exploration framework
  • Identify and estimate the effects of multiple sources of risk and uncertainty
  • Explain concepts of robustness and flexibility
  • Understand and estimate the effects of policy decisions
  • Estimate and explain uncertainty, flexibility, and/or policy effects on a simple tradespace using appropriate tools such as portfolio optimization or real options theory

    Calendar

    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



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