Optimal cooperative CubeSat maneuvers obtained through parallel computing

Alexander Ghosh, Victoria Coverstone

Research output: Contribution to journalArticlepeer-review


CubeSats, the class of small standardized satellites, are quickly becoming a prevalent scientific research tool. The desire to perform ambitious missions using multiple CubeSats will lead to innovations in thruster technology and will require new tools for the development of cooperative trajectory planning. To meet this need, a new software tool was created to compute propellant-minimizing maneuvers for two or more CubeSats. By including parallelization techniques, this tool is shown to run significantly faster than its serial counterpart.

Original languageEnglish (US)
Pages (from-to)130-149
Number of pages20
JournalActa Astronautica
StatePublished - Feb 2015


  • Algorithmic differentiation
  • CubeSat
  • Mission planning
  • Parallel computing
  • Trajectory optimization

ASJC Scopus subject areas

  • Aerospace Engineering


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