A hybrid motion planning algorithm for safe and efficient close proximity, autonomous spacecraft missions

Lawrence J. Digirolamo, Andrew H. Hoskins, Kurt A. Hacker, David Bradley Spencer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

As the International Space Station and Earth orbiting satellites age well past their originally planned operational lifespan, improved monitoring of these spacecraft's integrity will be critical to the safety of any crew on board and continued functionality. A small autonomous free flying spacecraft could have the ability to monitor for structural instabilities without the need for astronaut intervention. An offline motion planner has been developed that plans a fuel efficient trajectory between user specified waypoints for the purpose of inspection, given an inspection vehicle's dynamics model, a thruster model and the obstacle field the vehicle operates in. The algorithm developed is shown to find trajectories superior to its predecessor.

Original languageEnglish (US)
Title of host publicationAIAA/AAS Astrodynamics Specialist Conference 2014
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624103087
StatePublished - Jan 1 2014
EventAIAA/AAS Astrodynamics Specialist Conference 2014 - San Diego, CA, United States
Duration: Aug 4 2014Aug 7 2014

Publication series

NameAIAA/AAS Astrodynamics Specialist Conference 2014

Other

OtherAIAA/AAS Astrodynamics Specialist Conference 2014
CountryUnited States
CitySan Diego, CA
Period8/4/148/7/14

Fingerprint

Motion planning
planning
Spacecraft
proximity
inspection
vehicles
spacecraft
Inspection
Trajectories
trajectories
astronauts
crews
International Space Station
Space stations
dynamic models
integrity
Dynamic models
safety
Earth (planet)
flight

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Astronomy and Astrophysics

Cite this

Digirolamo, L. J., Hoskins, A. H., Hacker, K. A., & Spencer, D. B. (2014). A hybrid motion planning algorithm for safe and efficient close proximity, autonomous spacecraft missions. In AIAA/AAS Astrodynamics Specialist Conference 2014 (AIAA/AAS Astrodynamics Specialist Conference 2014). American Institute of Aeronautics and Astronautics Inc..
Digirolamo, Lawrence J. ; Hoskins, Andrew H. ; Hacker, Kurt A. ; Spencer, David Bradley. / A hybrid motion planning algorithm for safe and efficient close proximity, autonomous spacecraft missions. AIAA/AAS Astrodynamics Specialist Conference 2014. American Institute of Aeronautics and Astronautics Inc., 2014. (AIAA/AAS Astrodynamics Specialist Conference 2014).
@inproceedings{683468ad45644ff1bdc5b974ce43cf22,
title = "A hybrid motion planning algorithm for safe and efficient close proximity, autonomous spacecraft missions",
abstract = "As the International Space Station and Earth orbiting satellites age well past their originally planned operational lifespan, improved monitoring of these spacecraft's integrity will be critical to the safety of any crew on board and continued functionality. A small autonomous free flying spacecraft could have the ability to monitor for structural instabilities without the need for astronaut intervention. An offline motion planner has been developed that plans a fuel efficient trajectory between user specified waypoints for the purpose of inspection, given an inspection vehicle's dynamics model, a thruster model and the obstacle field the vehicle operates in. The algorithm developed is shown to find trajectories superior to its predecessor.",
author = "Digirolamo, {Lawrence J.} and Hoskins, {Andrew H.} and Hacker, {Kurt A.} and Spencer, {David Bradley}",
year = "2014",
month = "1",
day = "1",
language = "English (US)",
isbn = "9781624103087",
series = "AIAA/AAS Astrodynamics Specialist Conference 2014",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
booktitle = "AIAA/AAS Astrodynamics Specialist Conference 2014",

}

Digirolamo, LJ, Hoskins, AH, Hacker, KA & Spencer, DB 2014, A hybrid motion planning algorithm for safe and efficient close proximity, autonomous spacecraft missions. in AIAA/AAS Astrodynamics Specialist Conference 2014. AIAA/AAS Astrodynamics Specialist Conference 2014, American Institute of Aeronautics and Astronautics Inc., AIAA/AAS Astrodynamics Specialist Conference 2014, San Diego, CA, United States, 8/4/14.

A hybrid motion planning algorithm for safe and efficient close proximity, autonomous spacecraft missions. / Digirolamo, Lawrence J.; Hoskins, Andrew H.; Hacker, Kurt A.; Spencer, David Bradley.

AIAA/AAS Astrodynamics Specialist Conference 2014. American Institute of Aeronautics and Astronautics Inc., 2014. (AIAA/AAS Astrodynamics Specialist Conference 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A hybrid motion planning algorithm for safe and efficient close proximity, autonomous spacecraft missions

AU - Digirolamo, Lawrence J.

AU - Hoskins, Andrew H.

AU - Hacker, Kurt A.

AU - Spencer, David Bradley

PY - 2014/1/1

Y1 - 2014/1/1

N2 - As the International Space Station and Earth orbiting satellites age well past their originally planned operational lifespan, improved monitoring of these spacecraft's integrity will be critical to the safety of any crew on board and continued functionality. A small autonomous free flying spacecraft could have the ability to monitor for structural instabilities without the need for astronaut intervention. An offline motion planner has been developed that plans a fuel efficient trajectory between user specified waypoints for the purpose of inspection, given an inspection vehicle's dynamics model, a thruster model and the obstacle field the vehicle operates in. The algorithm developed is shown to find trajectories superior to its predecessor.

AB - As the International Space Station and Earth orbiting satellites age well past their originally planned operational lifespan, improved monitoring of these spacecraft's integrity will be critical to the safety of any crew on board and continued functionality. A small autonomous free flying spacecraft could have the ability to monitor for structural instabilities without the need for astronaut intervention. An offline motion planner has been developed that plans a fuel efficient trajectory between user specified waypoints for the purpose of inspection, given an inspection vehicle's dynamics model, a thruster model and the obstacle field the vehicle operates in. The algorithm developed is shown to find trajectories superior to its predecessor.

UR - http://www.scopus.com/inward/record.url?scp=84906270682&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906270682&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84906270682

SN - 9781624103087

T3 - AIAA/AAS Astrodynamics Specialist Conference 2014

BT - AIAA/AAS Astrodynamics Specialist Conference 2014

PB - American Institute of Aeronautics and Astronautics Inc.

ER -

Digirolamo LJ, Hoskins AH, Hacker KA, Spencer DB. A hybrid motion planning algorithm for safe and efficient close proximity, autonomous spacecraft missions. In AIAA/AAS Astrodynamics Specialist Conference 2014. American Institute of Aeronautics and Astronautics Inc. 2014. (AIAA/AAS Astrodynamics Specialist Conference 2014).