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Attitude Maneuver Planning of Target Spacecraft Under Collaborative On-Orbit Inspection

  • Huida Yan
  • , Chuanjiang Li*
  • , Li Yuan
  • , Renjian Hao
  • , Haibo Zhang
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology

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

Abstract

The article focuses on collaborative on-orbit inspection involving cooperative target space-craft (TSc). Attitude maneuver planning of the TSc is implemented to ensure that its features can be observed by multiple closely accompanying observers. A method for discriminating the visibility of features is proposed based on the spacecraft's structural dimensions. The article introduces a double-loop optimization framework: the outer loop adopts rolling planning to determine the expected attitude, while the inner loop employs the deep deterministic strategy gradient algorithm (DDPG) to quickly solve the maneuvering trajectory and determine the associated cost. The planning process considers the pointing constraints of the optical load and the maneuverability constraints of the executing mechanism. Finally, the feasibility of the optimization framework is rigorously validated through the simulation examples provided.

Original languageEnglish
Title of host publication14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages218-223
Number of pages6
ISBN (Electronic)9798331506056
DOIs
StatePublished - 2024
Externally publishedYes
Event14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2024 - Copenhagen, Denmark
Duration: 16 Jul 202419 Jul 2024

Publication series

Name14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2024

Conference

Conference14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2024
Country/TerritoryDenmark
CityCopenhagen
Period16/07/2419/07/24

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