Optimal cooperative CubeSat maneuvers obtained through parallel computing

Alexander Ghosh; Victoria Coverstone

doi:10.1016/j.actaastro.2014.10.042

Optimal cooperative CubeSat maneuvers obtained through parallel computing

Alexander Ghosh, Victoria Coverstone

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English (US)
Pages (from-to)	130-149
Number of pages	20
Journal	Acta Astronautica
Volume	107
DOIs	https://doi.org/10.1016/j.actaastro.2014.10.042
State	Published - Feb 2015
Externally published	Yes

Keywords

Algorithmic differentiation
CubeSat
Mission planning
Parallel computing
Trajectory optimization

ASJC Scopus subject areas

Aerospace Engineering

Online availability

10.1016/j.actaastro.2014.10.042

Library availability

Discover UIUC Full Text

Cite this

@article{bc9be123651c42779e92173b15811b91,

title = "Optimal cooperative CubeSat maneuvers obtained through parallel computing",

abstract = "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.",

keywords = "Algorithmic differentiation, CubeSat, Mission planning, Parallel computing, Trajectory optimization",

author = "Alexander Ghosh and Victoria Coverstone",

note = "Funding Information: This work was funded by the National Science and Engineering Research Council of Canada (Grant no. PGSD3-389037-2010 ). Publisher Copyright: {\textcopyright} 2014 IAA. Published by Elsevier Ltd. All rights reserved.",

year = "2015",

month = feb,

doi = "10.1016/j.actaastro.2014.10.042",

language = "English (US)",

volume = "107",

pages = "130--149",

journal = "Acta Astronautica",

issn = "0094-5765",

publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Optimal cooperative CubeSat maneuvers obtained through parallel computing

AU - Ghosh, Alexander

AU - Coverstone, Victoria

N1 - Funding Information: This work was funded by the National Science and Engineering Research Council of Canada (Grant no. PGSD3-389037-2010 ). Publisher Copyright: © 2014 IAA. Published by Elsevier Ltd. All rights reserved.

PY - 2015/2

Y1 - 2015/2

N2 - 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.

AB - 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.

KW - Algorithmic differentiation

KW - CubeSat

KW - Mission planning

KW - Parallel computing

KW - Trajectory optimization

UR - http://www.scopus.com/inward/record.url?scp=84919393372&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84919393372&partnerID=8YFLogxK

U2 - 10.1016/j.actaastro.2014.10.042

DO - 10.1016/j.actaastro.2014.10.042

M3 - Article

AN - SCOPUS:84919393372

SN - 0094-5765

VL - 107

SP - 130

EP - 149

JO - Acta Astronautica

JF - Acta Astronautica

ER -

Optimal cooperative CubeSat maneuvers obtained through parallel computing

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this