Fuzzy Learning-Based Adaptive Sliding Mode Control of Multi-Agent Spacecraft Attitude Tracking

  • Isfaq Ahmed Rafsun
  • , Vicente Angel Obama Biyogo Nchama
  • , Peng Shi*
  • , Sajjad Hossain Masum
  • , Lucky Bose
  • *Corresponding author for this work

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

Abstract

The Spacecraft Rendezvous technique requires an effective and robust attitude control. Therefore, this paper focuses on relative attitude tracking for a spacecraft as it aligns with another. A relative attitude tracking algorithm that combines the fuzzy learning-based adaptive SMC (Sliding Mode Control) with Lyapunov stability analysis is proposed to intelligently handle and ensure the desired attitude stability during spacecraft rendezvous under uncertain conditions. Finally, a numerical simulation is executed to validate the effectiveness and practical feasibility of the proposed method in high-fidelity spacecraft formation flying attitude control scenarios.

Original languageEnglish
Title of host publication2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages772-777
Number of pages6
ISBN (Electronic)9798331535674
DOIs
StatePublished - 2025
Event5th IEEE International Conference on Computer Communication and Artificial Intelligence, CCAI 2025 - Hybrid, Haikou, China
Duration: 23 May 202525 May 2025

Publication series

Name2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence, CCAI 2025

Conference

Conference5th IEEE International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
Country/TerritoryChina
CityHybrid, Haikou
Period23/05/2525/05/25

Keywords

  • Adaptive Sliding Mode Control
  • Fuzzy learning Control
  • Nonlinear Control
  • Spacecraft relative attitude control

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