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

Abstract

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.