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高超声速变形飞行器滑翔段在线轨迹规划

  • Beijing Institute of Technology
  • China Aerospace Science and Technology Corporation

科研成果: 期刊稿件文章同行评审

摘要

Aiming at the online trajectory planning problem of hypersonic morphing vehicles with waypoint constraints, a multi-stage continuous solution-based variable time-domain receding planning sequential convex optimization technique was proposed by combining the sequential convex optimization method with the receding planning method. Firstly, the impact of morphing on the aerodynamic characteristics of the vehicle was analyzed, and a hypersonic morphing vehicle aerodynamic model and a dynamic model were constructed; for the trajectory planning problem of the vehicle with variable spreading length, convexization and discretization were carried out to obtain the convex problem of trajectory planning; the relaxation solution technique was adopted, and a method of reliance-domain relaxation and terminal constraint relaxation was proposed, which improved the convergence of the algorithm, and a control volume change rate constraint was used to avoid control volume jitter. Hereby, a multi-stage continuous solution-based receding planning sequential convex optimization technique was proposed. On this basis, in order to improve the anti-disturbance ability of the hypersonic morphing vehicle in complex environments, atmospheric deviation and other interference conditions, the receding time-domain idea was introduced into the sequential convex optimization framework, which improved the real-time performance and robustness of the algorithm. Finally, the validity of the proposed method and the superiority of the variable-spread-length vehicle in the trajectory planning problem were verified by the trajectory planning simulation results.

投稿的翻译标题Online Trajectory Planning for Glide Phase of Hypersonic Morphing Vehicles
源语言繁体中文
页(从-至)672-690
页数19
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
45
7
DOI
出版状态已出版 - 7月 2025
已对外发布

关键词

  • hypersonic morphing vehicle
  • sequential convex optimization
  • trajectory planning
  • variable time-domain receding planning method

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