Vector Trajectory Method for Obstacle Avoidance Constrained Planetary Landing Trajectory Optimization

Jiateng Long, Pingyuan Cui*, Shengying Zhu

*Corresponding author for this work

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Abstract

Considering the requirement of avoiding obstacles in different planetary landing missions, this article presents a generalized method dealing with the obstacle avoidance constrained landing trajectory optimization problem with vectorized strategy, i.e., vector trajectory method (VTM). By introducing a trajectory direction constraint with vectorized description, the character of the obstacle avoidance trajectory can be more specifically depicted. Moreover, by satisfying proper trajectory direction constraint, the landera s particular performances, such as the observation to the target or probability of a safe flight, can be improved. To this end, the VTM and relevant theorem are first developed, revealing the relationship between the two aspects of obstacle avoidance constraint (i.e., distance constraint and trajectory direction constraint). Then, both aspects of constraints are uniformly transformed as the auxiliary angle magnitude constraint with the vectorized strategy, which significantly simplifies the solving procedure of obstacle avoidance constrained trajectory optimization problem. Finally, the proposed VTM is illustrated in detail through the examples with the planetary landing background of atmospheric entry and powered descent landing.

Original languageEnglish
Pages (from-to)2996-3010
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume58
Issue number4
DOIs
Publication statusPublished - 1 Aug 2022

Keywords

  • Obstacle avoidance
  • planetary landing
  • trajectory direction constraint
  • trajectory optimization problem
  • vector trajectory method (VTM)

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Long, J., Cui, P., & Zhu, S. (2022). Vector Trajectory Method for Obstacle Avoidance Constrained Planetary Landing Trajectory Optimization. IEEE Transactions on Aerospace and Electronic Systems, 58(4), 2996-3010. https://doi.org/10.1109/TAES.2022.3143086