Deep space explorer attitude maneuver planning based on sliding mode control

Changqing Wu, Rui Xu*, Shengying Zhu, Nan Yang, Lina Wang

*Corresponding author for this work

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

Abstract

During the deep space exploration missions a lot of attitude maneuvers need to be completed for the change of different attitude. Meanwhile, in the course of the explorer attitude maneuver there are many attitude pointing constraints due to the diversity of space tasks. Firstly, attitude kinematic and dynamic equations based on quaternion are established in this paper, which laid the foundation for design and simulation of the planning system. Secondly, to improve system stability and robustness of strong disturbance, an autonomous attitude planning system based sliding mode control has been proposed. In addition, a constraint monitor module ensures that the attitude commands received from the attitude controllers do not violate attitude pointing constraints. Finally, simulation results demonstrate that: the methods in this paper not only meet complex attitude pointing constraints but also achieve high-precision attitude maneuver in large angle maneuver under high time-varying disturbance torque, and the attitude maneuver path is smoother and feasible for implementation.

Original languageEnglish
Title of host publicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages658-663
Number of pages6
ISBN (Electronic)9781467397148
DOIs
Publication statusPublished - 3 Aug 2016
Event28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
Duration: 28 May 201630 May 2016

Publication series

NameProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

Conference

Conference28th Chinese Control and Decision Conference, CCDC 2016
Country/TerritoryChina
CityYinchuan
Period28/05/1630/05/16

Keywords

  • Attitude maneuver
  • Deep space exploration
  • Path planning
  • Sliding mode control

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