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Study on random sampling motion planning algorithm for maneuvering in close of on-orbit servicing spacecraft

  • York University Toronto
  • Harbin Institute of Technology

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

Abstract

Because of characteristics of maneuvering in close of on-orbit servicing spacecraft, the motion planning algorithm needs to satisfy the requirements of real time, rapidity and adaptability. Analysis the characteristics of rapidly-exploring random trees algorithm based on randomized motion planning, apply the state transition matrix to compute relative motion on elliptical orbit, represent the motion planning algorithm with dependent variable like time based on basic rapidly-exploring random trees algorithm. Prove this algorithm to satisfy the above requirement from the simulations finally.

Original languageEnglish
Title of host publicationProceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3073-3077
Number of pages5
EditionMarch
ISBN (Electronic)9781479958252
DOIs
StatePublished - 2 Mar 2015
Event2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 - Shenyang, China
Duration: 29 Jun 20144 Jul 2014

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
NumberMarch
Volume2015-March

Conference

Conference2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Country/TerritoryChina
CityShenyang
Period29/06/144/07/14

Keywords

  • Elliptical orbit
  • Random sampling
  • Servicing spacecraft

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