Autonomous attitude maneuver planning in asteroid exploration missions

Changqing Wu, Rui Xu*, Shengying Zhu

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

During the asteroid exploration mission, attitude maneuver is subjected to various constraints, such as geometric constraints, dynamic constraints etc. To accomplish rapid maneuver from the initial attitude to the target attitude under the complex system constraints, autonomous attitude maneuver planning problem should be considered. This article fully considers the constraints in deep space environment, and describes the maneuver process in three-dimensional space to path planning in two-dimensional plane where the constraints are translated to some obstacles in this plane. To promote the attitude maneuver efficiency and decrease the time cost, an attitude path planning algorithm based on the genetic algorithm was proposed. Take the asteroid exploration mission Chang'e II as example, simulation results show that this method not only meets the previous constraints but also effectively gives the attitude maneuver path.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2290-2295
Number of pages6
ISBN (Electronic)9781479970964
DOIs
Publication statusPublished - 2 Sept 2015
Event12th IEEE International Conference on Mechatronics and Automation, ICMA 2015 - Beijing, China
Duration: 2 Aug 20155 Aug 2015

Publication series

Name2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015

Conference

Conference12th IEEE International Conference on Mechatronics and Automation, ICMA 2015
Country/TerritoryChina
CityBeijing
Period2/08/155/08/15

Keywords

  • Asteroid explorer
  • Attitude control
  • Genetic algorithm
  • Path planning

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