Cislunar Trajectory Generation with Sun-Exclusion Zone Constraints Using a Genetic Algorithm and Direct Method Hybridization

Abstract

Space missions to the Moon have received renewed interest in recent decades. With the increased number of artificial objects in cislunar space, the problem of tracking these objects arises. Optical sensors are able to track these objects in deep space. However, optical sensors cannot track objects that are close to the Sun as viewed from the observer. This unobservable region is the Sun-exclusion zone (SEZ). This research attempts to create optimal Moon-Earth transfers which are completely in the SEZ using a genetic algorithm direct method hybridization. Such transfers demonstrate how much the SEZ can limit optical sensors from maintaining custody of a satellite. Transfers from L1 and L2 Lyapunov orbits to geosynchronous orbit are generated while optimizing fuel and time of flight. Remaining inside of the SEZ is shown to significantly increase the fuel required to make the transfer.

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Document Details

Document Type
Technical Report
Publication Date
Aug 26, 2019
Accession Number
AD1083338

Entities

People

  • Joshua A. Ostman

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Satellites
  • Boundary Value Problems
  • Computer Programs
  • Department Of Defense
  • Detection
  • Differential Equations
  • Earth Orbits
  • Equations Of Motion
  • Evolutionary Algorithms
  • Genetic Algorithms
  • Geosynchronous Orbits
  • Governments
  • Parallel Computing
  • Space Situational Awareness
  • United States Government

Readers

  • Computer Vision.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks
  • Biotechnology
  • Space
  • Space - Orbital Debris
  • Space - Space Objects
  • Space - Spacecraft Maneuvers