Abstract This paper addresses the robust attitude synchronization issue in a multi-spacecraft formation system subjected to limited communication, space disturbances, modeling uncertainties, and actuator faults. To accommodate limited inter-spacecraft communication, a dynamic event-triggered mechanism is designed to reduce the communication trigger frequency by dynamically adjusting the trigger threshold. Moreover, an event-based distributed self-learning neural-network control (SLN2C) law is developed to guarantee robust attitude synchronization during multi-spacecraft formation. In the SLN2C scheme, a learning radial basis function neural network (RBFNN) model is proposed to online approximate and compensate for lumped disturbances, in which an iterative learning algorithm with a variable learning intensity is adopted to update the weight matrix of the RBFNN model. Compared with the traditional fixed learning intensity, a variable one can reduce initial oscillation and weaken the saturation response. Numerical simulations and comparisons are performed to illustrate the effectiveness and superiority of the proposed event-based spacecraft attitude synchronization control method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning neural network control approach


    Contributors:
    Jia, Qingxian (author) / Gao, Junnan (author) / Zhang, Chengxi (author) / Ahn, Choon Ki (author) / Yu, Dan (author)


    Publication date :

    2023-09-27




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Multi-spacecraft attitude synchronization based on performance adjustable event-triggered control

    Zhao, Dang-Jun / Yang, Xinhe / Dai, Ming-Zhe et al. | Elsevier | 2022



    Composite Event-Triggered Intermittent Attitude Control of Spacecraft

    Lei, Jiakun / Meng, Tao / Wang, Kun et al. | IEEE | 2024


    Distributed dynamic event-triggered adaptive attitude consensus control of multiple spacecraft

    Xu, Chuang / Wu, Baolin / Wang, Danwei et al. | Elsevier | 2022


    Event-Triggered Attitude Tracking for Rigid Spacecraft

    Shi, Dawei / Huang, Yuan / Wang, Junzheng et al. | Springer Verlag | 2021