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Article

Actor-Critic Neural-Network-Based Fractional-Order Sliding Mode Control for Attitude Tracking of Spacecraft with Uncertainties and Actuator Faults

School of Mechanical and Electronic Engineering, Henan University of Technology, Zhengzhou 450001, China
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Fractal Fract. 2024, 8(7), 385; https://doi.org/10.3390/fractalfract8070385 (registering DOI)
Submission received: 1 June 2024 / Revised: 25 June 2024 / Accepted: 26 June 2024 / Published: 28 June 2024

Abstract

This paper investigates the attitude control of rigid spacecraft in the presence of uncertainties, disturbances, and actuator faults. In order to effectively address these challenges and improve the performance of the system, a novel actor-critic neural-network-based fractional-order sliding mode control (ACNNFOSMC) has been developed for spacecraft. The integration of actor-critic neural network, fractional-order theory, and sliding mode control enables dual functionality: the actor-critic neural network serves to approximate the aggregate of uncertain parameters, disturbances, and actuator faults, thereby facilitating their compensation, while the fractional-order sliding mode control mechanism significantly improves the system’s tracking precision and overall robustness against uncertainties. Theoretical analyses are presented to analyze the stability of the proposed control framework. Thorough examination via simulation experiments affirms the effectiveness and control precision of attitude of our proposed control strategy, even in complex operational scenarios.
Keywords: spacecraft; attitude tracking; neural network; sliding mode control; fractional-order spacecraft; attitude tracking; neural network; sliding mode control; fractional-order

Share and Cite

MDPI and ACS Style

Jing, C.; Ma, X.; Zhang, K.; Wang, Y.; Yan, B.; Hui, Y. Actor-Critic Neural-Network-Based Fractional-Order Sliding Mode Control for Attitude Tracking of Spacecraft with Uncertainties and Actuator Faults. Fractal Fract. 2024, 8, 385. https://doi.org/10.3390/fractalfract8070385

AMA Style

Jing C, Ma X, Zhang K, Wang Y, Yan B, Hui Y. Actor-Critic Neural-Network-Based Fractional-Order Sliding Mode Control for Attitude Tracking of Spacecraft with Uncertainties and Actuator Faults. Fractal and Fractional. 2024; 8(7):385. https://doi.org/10.3390/fractalfract8070385

Chicago/Turabian Style

Jing, Chenghu, Xiaole Ma, Kun Zhang, Yanfeng Wang, Bingsheng Yan, and Yanbo Hui. 2024. "Actor-Critic Neural-Network-Based Fractional-Order Sliding Mode Control for Attitude Tracking of Spacecraft with Uncertainties and Actuator Faults" Fractal and Fractional 8, no. 7: 385. https://doi.org/10.3390/fractalfract8070385

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