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分布式航天器编队约定时间姿轨耦合协同控制

刘岩 曹璐 秦开宇 肖冰 施孟佶 李维豪

控制理论与应用2024,Vol.41Issue(5):829-838,10.
控制理论与应用2024,Vol.41Issue(5):829-838,10.DOI:10.7641/CTA.2023.20595

分布式航天器编队约定时间姿轨耦合协同控制

Appointed-time attitude-orbit coupling control for distributed spacecraft formation

刘岩 1曹璐 2秦开宇 1肖冰 3施孟佶 1李维豪1

作者信息

  • 1. 电子科技大学航空航天学院,四川成都 611713
  • 2. 军事科学院国防科技创新研究院,北京 100071
  • 3. 西北工业大学自动化学院,陕西西安 710072
  • 折叠

摘要

Abstract

This paper addresses the problem of appointed-time attitude and orbit coupled control for distributed space-craft formation with parameter uncertainties,external disturbances and requirements of prescribed performance.A low complexity cooperative controller was proposed based on the prescribed performance control method,which realized the spacecraft formation flying within the set time and the formation errors met the preset performance indexes.Firstly,an appointed-time performance function that can arbitrarily set the stability time of the system is introduced by using the concept of finite time stability.Secondly,by combining the appointed-time performance function with the prescribed per-formance control method,a appointed-time cooperative controller is designed to ensure the transient performance and the steady performance and finite-time stability of spacecraft formation control system.And the controller is independent of spacecraft mass and moment of inertia.Finally,the Lyapunov stability theorem is applied to prove the stability of the control system,and numerical simulation results show the effectiveness of the control law.

关键词

航天器编队飞行/姿轨耦合控制/预设性能控制/约定时间控制/航天器队形重构

Key words

spacecraft formation flying/attitude and orbit coupled control/prescribed performance control/appointed-time control/spacecraft formation reconfiguration

引用本文复制引用

刘岩,曹璐,秦开宇,肖冰,施孟佶,李维豪..分布式航天器编队约定时间姿轨耦合协同控制[J].控制理论与应用,2024,41(5):829-838,10.

基金项目

国家自然科学基金项目(11972373),四川省科技厅项目(2022JDR0107,2020YJ0044,2021YFG0131)资助.Supported by the National Natural Science Foundation of China(11972373)and the Project of Science & Technology Department of Sichuan Province(2022JDR0107,2020YJ0044,2021YFG0131). (11972373)

控制理论与应用

OA北大核心CSTPCD

1000-8152

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