Time-coordinated re-entry trajectory planning for hypersonic glide vehicle cluster
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1.College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073 , China ;2.Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions, Changsha 410073 , China ;3.College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073 , China ;4.Advanced Propulsion Technology Laboratory, National University of Defense Technology, Changsha 410073 , China ;5.School of Astronautics, Northwestern Polytechnical University, Xi′an 710072 , China

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V448.235

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    Abstract:

    Starting from the cooperative mission requirements of hypersonic gliding vehicles, a cooperative trajectory planning method for cluster re-entry was proposed to address the trajectory planning problem in complex re-entry environments. The re-entry dynamics of a cluster of vehicles was modelled, and a longitudinal trajectory control scheme was designed on the basis of the control volume and re-entry corridor constraints. This approach aimed to mitigate the oscillation problem during trajectory calculation and improve the feasibility of trajectory solution. On this basis, a trajectory planning scheme under two forms of cooperation was proposed, which completed the decision of cooperative time according to the mission requirements and the gliding capability analysis results of the aircraft cluster, and utilized the hp adaptive pseudo-spectral algorithm to plan the cooperative trajectory that satisfies the no-fly zone and time constraints. Simulation results show that the proposed method can plan 3D trajectories that satisfy the specified constraints and coordinated time under different mission scenarios. This has significant reference value for the cooperative planning research of hypersonic glider vehicles.

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陈顺毅, 徐小平, 刘双喜, 等. 面向时间协同的高超声速滑翔飞行器集群再入轨迹规划[J]. 国防科技大学学报, 2026, 48(1): 78-87.

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History
  • Received:April 17,2024
  • Revised:
  • Adopted:
  • Online: January 30,2026
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