A Methodology for the Optimization of Disaggregated Space System Conceptual Designs

Abstract

Optimal design techniques have proven to be an effective systems engineering tool. Using systems architecture as the foundation, this research explores the use of mixed variable optimization models for synthesizing and evaluating disaggregated space system concepts. Model-based conceptual design techniques are used to identify and assess system architectures based upon estimated system cost, performance trades, and cost risk. The Disaggregated Integral System Concept Optimization (DISCO) methodology is introduced, and then applied to representative space-based missions. Several results are obtained that indicate significant cost effectiveness gains from the optimization of multi-orbit and multi-function/multi-orbit disaggregated space systems. The general methodology has broad applicability for model-based conceptual design (MBCD) of many system types, but is particularly useful for dynamic disaggregated space systems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 18, 2015
Accession Number
ADA621764

Entities

People

  • Robert E. Thompson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Astronautics
  • Detection
  • Genetic Algorithms
  • Infrared Detectors
  • Meteorological Satellites
  • Model Based Systems Engineering
  • Payload
  • Satellite Buses
  • Satellite Constellations
  • Satellite Orbits
  • Space Objects
  • Space Transportation
  • Spacecraft
  • Spacecraft Orbits
  • Systems Engineering

Readers

  • Aerospace Engineering.
  • Computational Modeling and Simulation
  • Life Cycle Cost Analysis

Technology Areas

  • Space