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面向空间引力波探测检验质量捕获的弹性管模型预测控制

贺雄峰 卢苇 许诺 王鹏程 张永合 崔冰 夏元清

空间科学学报2025,Vol.45Issue(1):189-200,12.
空间科学学报2025,Vol.45Issue(1):189-200,12.DOI:10.11728/cjss2025.01.2024-0009

面向空间引力波探测检验质量捕获的弹性管模型预测控制

Elastic Tube Model Predictive Control for Test Mass Capture for Space-borne Gravitational Wave Detection

贺雄峰 1卢苇 1许诺 1王鹏程 1张永合 1崔冰 2夏元清2

作者信息

  • 1. 中国科学院微小卫星创新研究院 上海 201304||中国科学院大学 北京 100049||中国科学院卫星数字化重点实验室 上海 201210
  • 2. 北京理工大学自动化学院 北京 100081
  • 折叠

摘要

Abstract

In the space-borne gravitational wave detection missions,test mass capture is critical for the spacecraft to enter the super-stable flight state.This process is characterized by large initial errors,large system uncertainties and strong execution constraints.This paper presents an improved high preci-sion elastic tube model predictive control of test mass capture.A control structure based on rolling opti-mization and elastic tube technology is proposed to improve the capture success rate and effectively com-pensate the satellite coupling interference on test mass.The tiny tolerance active set method is proposed to improve the accuracy of online calculation and ensure the high control accuracy of test mass.Mean-while,this paper proposes an offline correction method for the minimum robust positive invariant set based on feature engineering.It reduces the vertices of the minimum robust positive invariant set based on the Minkowski summation and reduces the online computational complexity.The proposed method is verified by simulations on the space-based double test masses full-freedom simulation platform.The re-sults show that the control performance satisfies the test mass capture accuracy requirement.The con-troller is robust and the rate of convergence is improved effectively.The effects of platform motion inter-ference and measurement noise are suppressed.

关键词

无拖曳控制/检验质量捕获/弹性管道模型预测控制/干扰补偿

Key words

Drag-free control/Test mass capture/Elastic tube model predictive control/Disturbance compensation

分类

航空航天

引用本文复制引用

贺雄峰,卢苇,许诺,王鹏程,张永合,崔冰,夏元清..面向空间引力波探测检验质量捕获的弹性管模型预测控制[J].空间科学学报,2025,45(1):189-200,12.

基金项目

国家重点研发计划项目资助(2021YFC2202600,2021YFC2202602) (2021YFC2202600,2021YFC2202602)

空间科学学报

OA北大核心

0254-6124

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