Scholarlink

This paper studies the optimal control problem of spacecraft formation flying (SFF) system without neighbor’s position measurements. An optimized backstepping control strategy based on actor-critic reinforcement learning (RL) algorithm is proposed for the SFF system with disturbances by virtue of the relative bearing measurements between spacecraft. Stability analysis proves that spacecraft formation flying control can be achieved by the proposed strategy. The superiority of the proposed strategy was verified through numerical simulation.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimized Backstepping Control for Spacecraft Formation Flying Using Bearing Measurements

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Mengna Li,
  • Ziquan Yu,
  • Lingxia Mu,
  • Youmin Zhang

摘要

This paper studies the optimal control problem of spacecraft formation flying (SFF) system without neighbor’s position measurements. An optimized backstepping control strategy based on actor-critic reinforcement learning (RL) algorithm is proposed for the SFF system with disturbances by virtue of the relative bearing measurements between spacecraft. Stability analysis proves that spacecraft formation flying control can be achieved by the proposed strategy. The superiority of the proposed strategy was verified through numerical simulation.