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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2020, Vol. 41 ›› Issue (S2): 724289-724289.doi: 10.7527/S1000-6893.2020.24289

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Online trajectory design method for terminal area energy management based on single parameter iteration

GONG Yulian1,2, MENG Bin1,2, LI Maomao1,2   

  1. 1. Beijing Institute of Control Engineering, Beijing 100190, China;
    2. Key Laboratory of Science and Technology on Space Intelligent Control, Beijing 100190, China
  • Received:2020-05-25 Revised:2020-06-01 Published:2020-06-18
  • Supported by:
    National Key R&D Program of China (2018YFA0703800)

Abstract: In consideration of the problems of strong control ability and multi-terminal constraints in the Terminal Area Energy Management (TAEM) of lifting reentry vehicles, the TAEM phase is divided into two stages: the dynamic pressure tracking stage and the pre-landing stage. Different longitudinal trajectory profiles are designed for the two stages respectively to transform the online trajectory generation problem in the TAEM phase into a single parameter search problem. In the first stage, the longitudinal reference trajectory is the nominal dynamic pressure profile, which ensures the aircraft process constraints. In the second stage, the longitudinal trajectory is designed as the nominal height profile to guarantee the height and inclination constraints of the terminal point. The dynamic pressure profile of the first stage is modified iteratively by designing a correction law according to the dynamic pressure error at the TAEM terminal. In the process of online trajectory recurrence, the numerical integration with time as the independent variable is adopted, and the closed-loop guidance law is introduced by adjusting the angle of attack to track the dynamic pressure profile and modifying the bank angle to track the ground trajectory. Consequently, the trajectory generated online conforms to the physical properties and the difficulty of closed-loop guidance is reduced. Numerical simulation considering large range state dispersion at the end of initial reentry shows the robustness of the proposed algorithm.

Key words: single parameter iteration, online trajectory generation, TAEM, closed-loop guidance, terminal constraints, process constraints

CLC Number: