For hypersonic weapon interception scenarios, the interception guidance problem for hypersonic targets with known maneuver escape strategy is studied based on the adaptive optimal control principle. The nonlinear interception guidance problem is converted into an optimal control problem, the neural network is used to design the evaluation network and the execution network, the neural network weight correction update is realized, and the interception of hypersonic weapons with large maneuvering measures is achieved by solving the constructed Hamilton-Jacobi-Bellman (HJB) equation. The simulation results show that the adaptive optimal control-based guidance method can intercept hypersonic targets more effectively than the generalized proportional guidance law and the adaptive sliding mode guidance law.


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    Title :

    Study on Optimal Guidance Method for Intercepting Hypersonic Weapons


    Contributors:
    Zhigang, Wang (author) / Xu, Han (author) / Lianzi, Shi (author)


    Publication date :

    2023-05-26


    Size :

    4884373 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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