Developing a tool for the trajectory planning of cubesat missions

Alexander Ghosh, Victoria Coverstone

Research output: Contribution to journalConference article

Abstract

Developing a modern low thrust trajectory planning tool for applications to picosatellites poses a number of unique challenges. This work discusses the development of a propellant-minimum trajectory planning tool, that combines a higher order integrator, algebraic differentiation techniques, adaptive step size control, a non-linear programming problem solver, and analysis of cumulative density functions of the control profile to generate a robust, extendable solution framework. Discussions of the lessons learned in merging these techniques, as well as a few demonstrated case studies will be included. The work will be shown to be extendable in the future towards cooperative formation flying.

Original languageEnglish (US)
Pages (from-to)1413-1432
Number of pages20
JournalAdvances in the Astronautical Sciences
Volume148
StatePublished - Jan 1 2013
Externally publishedYes
Event23rd AAS/AIAA Space Flight Mechanics Meeting, Spaceflight Mechanics 2013 - Kauai, HI, United States
Duration: Feb 10 2013Feb 14 2013

Fingerprint

trajectory planning
Picosatellites
trajectory
Trajectories
nonlinear programming
low thrust
Planning
formation flying
lessons learned
integrators
propellants
Nonlinear programming
Propellants
Merging
Probability density function
thrust
profiles
planning
propellant
analysis

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

Developing a tool for the trajectory planning of cubesat missions. / Ghosh, Alexander; Coverstone, Victoria.

In: Advances in the Astronautical Sciences, Vol. 148, 01.01.2013, p. 1413-1432.

Research output: Contribution to journalConference article

@article{bc0d1927bdd34c579edf71475e1dd2c1,
title = "Developing a tool for the trajectory planning of cubesat missions",
abstract = "Developing a modern low thrust trajectory planning tool for applications to picosatellites poses a number of unique challenges. This work discusses the development of a propellant-minimum trajectory planning tool, that combines a higher order integrator, algebraic differentiation techniques, adaptive step size control, a non-linear programming problem solver, and analysis of cumulative density functions of the control profile to generate a robust, extendable solution framework. Discussions of the lessons learned in merging these techniques, as well as a few demonstrated case studies will be included. The work will be shown to be extendable in the future towards cooperative formation flying.",
author = "Alexander Ghosh and Victoria Coverstone",
year = "2013",
month = "1",
day = "1",
language = "English (US)",
volume = "148",
pages = "1413--1432",
journal = "Advances in the Astronautical Sciences",
issn = "1081-6003",
publisher = "Univelt Inc.",

}

TY - JOUR

T1 - Developing a tool for the trajectory planning of cubesat missions

AU - Ghosh, Alexander

AU - Coverstone, Victoria

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Developing a modern low thrust trajectory planning tool for applications to picosatellites poses a number of unique challenges. This work discusses the development of a propellant-minimum trajectory planning tool, that combines a higher order integrator, algebraic differentiation techniques, adaptive step size control, a non-linear programming problem solver, and analysis of cumulative density functions of the control profile to generate a robust, extendable solution framework. Discussions of the lessons learned in merging these techniques, as well as a few demonstrated case studies will be included. The work will be shown to be extendable in the future towards cooperative formation flying.

AB - Developing a modern low thrust trajectory planning tool for applications to picosatellites poses a number of unique challenges. This work discusses the development of a propellant-minimum trajectory planning tool, that combines a higher order integrator, algebraic differentiation techniques, adaptive step size control, a non-linear programming problem solver, and analysis of cumulative density functions of the control profile to generate a robust, extendable solution framework. Discussions of the lessons learned in merging these techniques, as well as a few demonstrated case studies will be included. The work will be shown to be extendable in the future towards cooperative formation flying.

UR - http://www.scopus.com/inward/record.url?scp=84898826470&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84898826470&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84898826470

VL - 148

SP - 1413

EP - 1432

JO - Advances in the Astronautical Sciences

JF - Advances in the Astronautical Sciences

SN - 1081-6003

ER -