This study aims to propose a novel fractional-order neural network-based fixed-time sliding mode controller to address the challenges of chaotic satellite attitude control, synchronization and anti-synchronization. By integrating fractional-order dynamics and neural network-based estimation, the proposed approach enhances robustness and adaptability in stabilizing complex systems.

    Design/methodology/approach

    The proposed control scheme introduces a novel sliding surface that leverages fractional calculus to improve convergence speed and control flexibility. A neural network is used to adaptively estimate unknown error dynamics, compensating for uncertainties in the system. The fixed-time stability property guarantees convergence within a predefined time, independent of initial conditions. Theoretical stability proofs and numerical simulations are conducted to validate the effectiveness of the proposed controller.

    Findings

    The results demonstrate that the proposed controller effectively stabilizes chaotic satellite attitude dynamics and ensures reliable synchronization and anti-synchronization. The approach exhibits strong robustness against system uncertainties and external disturbances while achieving fixed-time convergence.

    Originality/value

    This work advances the field by integrating fractional-order dynamics with a neural network-based adaptive mechanism in a fixed-time sliding mode control framework. The proposed method enhances convergence properties and robustness in controlling chaotic satellite attitude systems, providing a novel and effective solution for complex nonlinear dynamics.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Design of a fractional-order neural network-based fixed-time sliding mode controller for chaotic satellite attitude control and synchronization


    Contributors:

    Published in:

    Publication date :

    2025-05-26


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Satellite five-axis attitude control simulation based on BP neural network sliding mode controller

    Qin, Jiangchuan / Dong, Xiaomeng / Wu, Yunjie et al. | IEEE | 2014


    Lag Synchronization of Uncertain Fractional-order Chaotic (Hyperchaotic) Systems Using Active Sliding Mode Control

    Yan, Xiaomei / Shang, Ting / Zhao, Xiaoguo | British Library Online Contents | 2015




    Attitude Synchronization with Tumbling Satellite Motion Using Adaptive Sliding Mode Control

    Kojima, H. / Mukai, T. | British Library Conference Proceedings | 2002