Aiming at the deformation decision-making problem of morphing aircraft, an intelligent deformation decision-making method based on Deep Deterministic Policy Gradient (DDPG) is proposed. Firstly, the dynamic model of the aircraft is established, and the aerodynamic parameters of the aircraft are obtained by computational fluid dynamics (CFD). Secondly, considering the performance indexes including optimal lift-drag ratio and control error of altitude loop, an intelligent deformation decision-making algorithm based on DDPG is designed. Furthermore, the intelligent agent of morphing aircraft with PID controller is trained to obtain the optimal configuration decision under given angle of attack (AOA) trajectory in real time. Finally, the simulation results show that the proposed algorithm can realize the AOA command tracking of the optimal lift-drag ratio. Compared with the traditional aircraft, the lift-drag ratio in different AOA can be optimized by morphing, and the attitude dynamic tracking error can be further reduced.


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    Title :

    Intelligent Deformation Decision Algorithm for Morphing Aircraft with Distributed Seamless Wing


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Li, Xiaoduo (editor) / Song, Xun (editor) / Zhou, Yingjiang (editor) / Shao, Shuai (author) / Liu, Junjui (author) / Han, Wanru (author) / Shan, Jiayuan (author)

    Conference:

    Chinese Conference on Swarm Intelligence and Cooperative Control ; 2023 ; Nanjing, China November 24, 2023 - November 27, 2023



    Publication date :

    2024-06-15


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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