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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2021, Vol. 42 ›› Issue (11): 524497-524497.doi: 10.7527/S1000-6893.2020.24497

• Article • Previous Articles     Next Articles

Rapid time-coordination trajectory planning method for multi-glide vehicles

LIU Zhe1, LU Haoran2, ZHENG Wei1, WEN Guoguang3, WANG Yidi1, ZHOU Xiang1   

  1. 1. College of Aerospace Science, National University of Defense Technology, Changsha 410073, China;
    2. Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China;
    3. College of Science, Beijing Jiaotong University, Beijing 100093, China
  • Received:2020-07-04 Revised:2020-07-26 Published:2020-09-14

Abstract: Based on the requirement of "detection-attack-assessment" integrated mission of the hypersonic vehicle cluster, this paper studies the time-coordination reentry trajectory planning of multi-glide vehicles, proposes the cooperative form and planning scheme of the reentry cluster, and solves the precise control problem of the total reentry flight time based on the improved sequential convex programming algorithm, thereby realizing the time-coordination of the glide cluster. The cooperative scheme of the glide cluster is firstly presented, and the solution model transformed into the sub problems of the determination of coordinated time and trajectory planning with the coordinated time constraint. The terminal time error is added to the penalty function to improve the calculation feasibility of the cooperative trajectory. The flight path angle preset profile is introduced as a soft constraint, with the penalty function and trust region adaptively adjusted to avoid the oscillation problem of trajectory solution and improve the convergence of sequential convex programming algorithm. The effectiveness of the proposed method is verified by the CAV-H model. The simulation results show that the adjustable range of the total reentry time obtained by the convex algorithm is consistent with the pseudospectral method, and the smoothness and calculation time of the trajectory planning results are better than those of the pseudospectral method.

Key words: reentry trajectory planning, time coordination, convex optimization, penalty function, trust region

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