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

4 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


  • 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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