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ADP-Based Orbit Tracking Control for Deep Space Probe Flying Around Unknown Asteroid.

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    This summary is machine-generated.

    This study presents a novel adaptive dynamic programming approach for deep space probe orbit tracking around unknown asteroids. The method ensures stable control despite unpredictable dynamics, validated by simulations.

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    Area of Science:

    • Aerospace Engineering
    • Control Theory
    • Robotics

    Background:

    • Deep space missions require precise orbit tracking for probes near celestial bodies.
    • Unknown asteroid dynamics pose significant challenges for traditional control systems.
    • Existing methods often rely on accurate models, which are unavailable in deep space exploration.

    Purpose of the Study:

    • To develop a robust orbit tracking control strategy for deep space probes around asteroids with unknown dynamics.
    • To design both a model-based optimal controller and a model-free suboptimal controller using adaptive dynamic programming.
    • To ensure asymptotic stability and validate the proposed control methods through numerical simulations.

    Main Methods:

    • Establishment of a relative motion orbit tracking control model.
    • Design of a model-based optimal controller with proven asymptotic stability.
    • Application of an adaptive dynamic programming (ADP) algorithm based on policy iteration for a model-free controller.
    • Online data collection to construct and solve high-order linear equations for controller parameter identification.

    Main Results:

    • A model-based controller demonstrating asymptotic stability of the closed-loop system.
    • A model-free suboptimal controller derived using ADP that approximates the model-based controller.
    • Successful validation of the control method's effectiveness and performance through numerical simulations.
    • Demonstrated ability to handle completely unknown dynamics in orbit tracking.

    Conclusions:

    • The proposed adaptive dynamic programming approach offers an effective solution for deep space probe orbit tracking under unknown dynamics.
    • The combination of model-based and model-free control strategies provides robustness and adaptability.
    • The method is validated as a reliable tool for future deep space exploration missions requiring precise trajectory control.