In this paper, a hypersonic vehicle reentry trajectory optimization method based on particle swarm optimization is proposed. Firstly, the dynamics model is established, and then the flight constraints are transformed into the constraints of the fixed parameters of the reference profile by planning the angle of attack-velocity profile and the reentry corridor. Secondly, according to the relationship between the continuity of the reference profile and the equations, the optimization parameters of the reference profile are reduced, and the multi-objective function of the optimization parameters is designed. Finally, the reentry trajectory optimization method is designed by combining the particle swarm optimization algorithm. Through the simulation analysis of the Common Aero Vehicle (CAV-H), the feasibility of the optimization algorithm in this paper is verified.


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    Title :

    Hypersonic Vehicle Reentry Trajectory Optimization Based on Particle Swarm Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Lianqing (editor) / Niu, Yifeng (editor) / Fu, Wenxing (editor) / Qu, Yi (editor) / Haiqing, Wang (author) / Junfeng, Jiang (author) / Xinlu, Guo (author) / Linfei, Hou (author) / Kai, Liu (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2024 ; Shenyang, China September 19, 2024 - September 21, 2024



    Publication date :

    2025-03-31


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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