Analytical control laws for planet-centred solar sailing

M. Macdonald, C.R. McInnes

Research output: Contribution to journalArticle

50 Citations (Scopus)

Abstract

With increased interest in solar sailing from both ESA and NASA for future science missions comes the requirement to assess potential planet-centered orbits and generate algorithms for effective orbit maneuvering and control. Previous planet-centered solar-sail trajectory work has been limited mostly to Earth-escape or lunar flyby trajectories as a result of the difficulties of fully optimizing multirevolution orbits.Anew method of blending locally optimal control laws is introduced, where each control law is prioritized by consideration of how efficiently it will use the solar sail and how far each orbital element is from its target value. The blended, locally optimal sail thrust vector is thus defined to use the sail as efficiently as possible, allowing the rapid generation of near-optimal trajectories. The blending method introduced is demonstrated for a complex orbit transfer and for two stationkeeping applications. Furthermore, the algorithms developed are explicitly independent of time, and as such the control system is demonstrated suitable as a potential future onboard sail controller.
LanguageEnglish
Pages1038-1048
Number of pages10
JournalJournal of Guidance, Control and Dynamics
Volume28
Issue number5
Publication statusPublished - 2005

Fingerprint

ice ridge
Planets
planets
Orbits
planet
Orbit
orbits
stationkeeping
Trajectories
trajectories
transfer orbits
Orbital transfer
orbital elements
optimal control
European Space Agency
thrust
escape
trajectory
Optimal Trajectory
NASA

Keywords

  • solar sailing
  • solar sails
  • orbitsl space travel
  • space engineering
  • guidance systems
  • astronautical engineering

Cite this

@article{40a901ec3f8b4eaba6e08f8ac231da45,
title = "Analytical control laws for planet-centred solar sailing",
abstract = "With increased interest in solar sailing from both ESA and NASA for future science missions comes the requirement to assess potential planet-centered orbits and generate algorithms for effective orbit maneuvering and control. Previous planet-centered solar-sail trajectory work has been limited mostly to Earth-escape or lunar flyby trajectories as a result of the difficulties of fully optimizing multirevolution orbits.Anew method of blending locally optimal control laws is introduced, where each control law is prioritized by consideration of how efficiently it will use the solar sail and how far each orbital element is from its target value. The blended, locally optimal sail thrust vector is thus defined to use the sail as efficiently as possible, allowing the rapid generation of near-optimal trajectories. The blending method introduced is demonstrated for a complex orbit transfer and for two stationkeeping applications. Furthermore, the algorithms developed are explicitly independent of time, and as such the control system is demonstrated suitable as a potential future onboard sail controller.",
keywords = "solar sailing, solar sails, orbitsl space travel, space engineering, guidance systems, astronautical engineering",
author = "M. Macdonald and C.R. McInnes",
year = "2005",
language = "English",
volume = "28",
pages = "1038--1048",
journal = "Journal of Guidance, Control and Dynamics",
issn = "0731-5090",
number = "5",

}

Analytical control laws for planet-centred solar sailing. / Macdonald, M.; McInnes, C.R.

In: Journal of Guidance, Control and Dynamics, Vol. 28, No. 5, 2005, p. 1038-1048.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Analytical control laws for planet-centred solar sailing

AU - Macdonald, M.

AU - McInnes, C.R.

PY - 2005

Y1 - 2005

N2 - With increased interest in solar sailing from both ESA and NASA for future science missions comes the requirement to assess potential planet-centered orbits and generate algorithms for effective orbit maneuvering and control. Previous planet-centered solar-sail trajectory work has been limited mostly to Earth-escape or lunar flyby trajectories as a result of the difficulties of fully optimizing multirevolution orbits.Anew method of blending locally optimal control laws is introduced, where each control law is prioritized by consideration of how efficiently it will use the solar sail and how far each orbital element is from its target value. The blended, locally optimal sail thrust vector is thus defined to use the sail as efficiently as possible, allowing the rapid generation of near-optimal trajectories. The blending method introduced is demonstrated for a complex orbit transfer and for two stationkeeping applications. Furthermore, the algorithms developed are explicitly independent of time, and as such the control system is demonstrated suitable as a potential future onboard sail controller.

AB - With increased interest in solar sailing from both ESA and NASA for future science missions comes the requirement to assess potential planet-centered orbits and generate algorithms for effective orbit maneuvering and control. Previous planet-centered solar-sail trajectory work has been limited mostly to Earth-escape or lunar flyby trajectories as a result of the difficulties of fully optimizing multirevolution orbits.Anew method of blending locally optimal control laws is introduced, where each control law is prioritized by consideration of how efficiently it will use the solar sail and how far each orbital element is from its target value. The blended, locally optimal sail thrust vector is thus defined to use the sail as efficiently as possible, allowing the rapid generation of near-optimal trajectories. The blending method introduced is demonstrated for a complex orbit transfer and for two stationkeeping applications. Furthermore, the algorithms developed are explicitly independent of time, and as such the control system is demonstrated suitable as a potential future onboard sail controller.

KW - solar sailing

KW - solar sails

KW - orbitsl space travel

KW - space engineering

KW - guidance systems

KW - astronautical engineering

UR - http://pdf.aiaa.org/jaPreview/JGCD/2005/PVJA11400.pdf

M3 - Article

VL - 28

SP - 1038

EP - 1048

JO - Journal of Guidance, Control and Dynamics

T2 - Journal of Guidance, Control and Dynamics

JF - Journal of Guidance, Control and Dynamics

SN - 0731-5090

IS - 5

ER -