T-S Fuzzy-Based Event-Triggering Attitude-Tracking Control for Elastic Spacecraft with Quantization

Ang Li, Choon Ki Ahn, Ming Liu

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


Based on the T-S fuzzy modeling method, this article aims to deal with the problem of event-triggered integral sliding-mode attitude-tracking control for a nonlinear elastic spacecraft system with the unknown actuator dead-zone and a redundant reaction wheel over digital communication channels. Considering the effect of external disturbance and the restrictions imposed by wireless network transmission, a classical dynamic logarithmic sensor-to-controller quantizer and an event-triggered mechanism are introduced to perform the analysis and design work. The T-S fuzzy model is introduced to describe the nonlinear attitude dynamic property of the flexible spacecraft, and an integral sliding surface is employed in this article. The robustness of the closed-loop attitude-tracking control system and the finite-time reachability of the sliding-surface domain are guaranteed by the presented quantized event-triggering adaptive sliding-mode control law. Simulation results are provided to verify the feasibility of the proposed attitude-tracking control strategy.

Original languageEnglish
Pages (from-to)124-139
Number of pages16
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number1
Publication statusPublished - 2022 Feb 1

Bibliographical note

Funding Information:
This work was supported in part by the Chinese Scholarship Council under Grant 201906120101, in part by the National Natural Science Foundation of China under Grant 61833009 and Grant 61690212, and in part by the National Research Foundation of Korea (NRF) grant Funded by the Korea Government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449.

Publisher Copyright:
© 1965-2011 IEEE.


  • Digital communication channel
  • Elastic spacecraft attitude tracking
  • Event-triggered control
  • Integral sliding-mode control
  • T-S fuzzy model

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering


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