This article studies the robust fuzzy attitude control strategy for the networked spacecraft consisting of physically independent modules that interact through network communication. The effects of inertia uncertainties, delayed feedback, actuator saturation, and external disturbances are simultaneously taken into account when designing the attitude control law. Based on aperiodic sampling, an adaptive event-triggered scheme avoiding Zeno phenomenon naturally is introduced to reduce the communication burden of network. By representing spacecraft kinematics and dynamics with Takagi–Sugeno fuzzy model, a robust fuzzy controller with $\mathcal {L}_\infty$-gain performance is newly developed to fulfill the attitude stabilization of networked spacecraft under complex constraints. Moreover, a novel Lyapunov functional is constructed to perform the stability analysis and controller synthesis of the resulting closed-loop system. The main results of this article are formulated in terms of linear matrix inequalities, which can be easily resolved by standard software. Finally, simulation results are presented to validate the effectiveness of the proposed attitude control strategy.


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    Title :

    Fuzzy-Logic-Based Robust Attitude Control of Networked Spacecraft via Event-Triggered Mechanism


    Contributors:
    Xu, Shidong (author) / Wei, Zhengtao (author) / Huang, Zheng (author) / Wen, Hao (author) / Jin, Dongping (author)


    Publication date :

    2021-02-01


    Size :

    3185846 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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