This article presents the development of a nonlinear optimal guidance to control the impact angle for an acceleration-constrained and speed-varying interceptor against a stationary target. The interceptor's velocity varies due to aerodynamic forces and gravity, while the constraints of maximal admissible acceleration and zero terminal acceleration are considered. The zero terminal acceleration imposes a terminal control constraint for the corresponding optimal control problem. To address this, a regularization term is incorporated to the cost function to ensure compliance with the zero terminal acceleration condition. A saturation function is then utilized to enforce the maximal admissible acceleration constraint, preserving the smoothness of the optimal control and providing a safety margin. To enable real-time implementation, a parameterized system is established to generate optimal trajectories for training a neural network. Furthermore, a combined guidance strategy is employed, integrating the nonlinear nature of the neural network-based approach with the convergence performance of a linear feedback guidance. Consequently, the proposed approach generates optimal guidance commands that achieve interceptions with minimal terminal accelerations, as verified by numerical simulations.


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    Titel :

    Nonlinear Optimal Impact Angle Control Guidance With Acceleration Constraints


    Beteiligte:
    Wang, Kun (Autor:in) / Lu, Fangmin (Autor:in) / Chen, Zheng (Autor:in)


    Erscheinungsdatum :

    01.08.2025


    Format / Umfang :

    2166158 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch