This paper proposes an enhanced learning anti-disturbance control method for cruise missile. In order to deal with time-varying matched and mismatched disturbances, STDO and HDO disturbance observers were designed for inner and outer rings respectively. By introducing STDO and HDO, the disturbance of inner and outer loop of the system is effectively solved. In order to improve the robustness and adaptability of the system to uncertainty, this paper introduces the perfect fitting long and short time memory (LSTM) network based on reinforcement learning control framework, and proposes a reinforcement learning control method based on LSTM. The simulation results show that the control output of the system is stable and bounded, which verifies the good performance of the proposed control structure.


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    Title :

    Reinforcement Learning Adaptive Anti-disturbance Control Method for a Class of Cruise Missile


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Huang, Shiyi (author) / Yuan, Chaohui (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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