A Mixed Integer Programming Framework for the Fuel Optimal Guidance of Complex Spacecraft Rendezvous and Proximity Operation Missions

Abstract

Space-based fuel-optimal maneuvers are essential to increasing mission life and improving the capability of inspector satellites working to characterize resident space objects in geosynchronous orbit. Traditionally, the combinatorial optimization and trajectory optimization aspects of space-based multiple objective inspection missions have been solved in a segregated manner. This thesis presents a Mixed Integer Programming (MIP) framework, through which, the combinatorial optimization and trajectory optimization nature of these problems are coupled, resulting in the fuel-optimal guidance for complex rendezvous and proximity operation missions.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2019
Accession Number
AD1077541

Entities

People

  • Andrew S. Levalley

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Apogees
  • Artificial Satellites
  • Department Of Defense
  • Earth Orbits
  • Geosynchronous Orbits
  • Integer Programming
  • Low Earth Orbits
  • Optimization
  • Resident Space Objects
  • Space Objects
  • Space Situational Awareness
  • Spacecraft
  • Systems Engineering
  • Three Dimensional
  • United States
  • United States Government

Readers

  • Aerospace Engineering.
  • Operations Research
  • Robotics and Automation.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers