For the characteristics of strong coupling and strong nonlinearities of a hypersonic flight vehicle (HFV) and high requirements for the design of its controller, this paper is based on the nonlinear model of HFV and proposes the intelligent control method of HFV by combining active disturbance rejection control (ADRC) and reinforcement learning of deep deterministic policy gradient (DDPG). The intelligent control method proposed in this paper realizes the efficient attitude control of HFV in the cruise phase. The simulation results verify the effectiveness of this method for HFV control.


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    Title :

    Intelligent Control of a Hypersonic Flight Vehicle Based on Active Disturbance Rejection Control


    Contributors:
    Yu, Zhen (author) / Ao, JiaHao (author) / Liu, LiJun (author) / Zhu, ChunHui (author)


    Publication date :

    2021-11-01


    Size :

    421400 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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