Debris avoidance maneuvers for spacecraft in a cluster

Elad Denenberg, Pini Gurfil

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Spacecraft formation flying and satellite cluster flight have seen growing interest in the last decade. However, the problem of finding the optimal debris collision avoidance maneuver for a satellite in a cluster has received little attention. This paper develops a method for choosing the timing for conducting minimum-fuel avoidance maneuvers without violating the cluster inter-satellite maximal distance limits. The mean semimajor axis difference between the maneuvering satellite and the other satellites is monitored for the assessment of a maneuver possibility. In addition, three techniques for finding optimal maneuvers under the constraints of cluster-keeping are developed. The first is an execution of an additional cluster- keeping maneuver at the debris time of closest approach, the second is a global all-cluster maneuver, and the third is a fuel-optimal maneuver, which incorporates the cluster-keeping constraints into the calculation of the evasive maneuver. The methods are demonstrated and compared. The first methodology proves to be the most fuel efficient. The global maneuver guarantees boundedness of the inter-satellite distances, as well as fuel and mass balance. However, it is rather fuel-expensive. The last method proves to be useful at certain timings, and is a compromise between fuel consumption, and the number of maneuvers.

Original languageEnglish
Title of host publicationSpaceflight Mechanics 2017
EditorsJon A. Sims, Frederick A. Leve, Jay W. McMahon, Yanping Guo
Pages1171-1189
Number of pages19
StatePublished - 2017
Event27th AAS/AIAA Space Flight Mechanics Meeting, 2017 - San Antonio, United States
Duration: 5 Feb 20179 Feb 2017

Publication series

NameAdvances in the Astronautical Sciences
Volume160

Conference

Conference27th AAS/AIAA Space Flight Mechanics Meeting, 2017
Country/TerritoryUnited States
CitySan Antonio
Period5/02/179/02/17

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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