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LESO-MPC-Based Control for Test Mass Capture in the Release Phase of Gravitational Wave Detection Satellites

  • Harbin Institute of Technology
  • State Key Laboratory of Micro-Spacecraft Rapid Design and Intelligent Cluster

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The test mass release phase is an important preparation phase for space-based gravitational wave detection satellites before scientific measurements. For the capture control problem of the test mass release phase of the space gravitational wave detection satellite, this study establishes relative dynamics equations for the test mass based on satellite configuration, and analyzes the disturbances and noise. Subsequently, on the basis of the system model, a linear extended state observer (LESO) is designed to estimate both system states and equivalent disturbances. Then, a model predictive controller is designed to solve the current optimal control command based on the estimation information from LESO and the performance constraints of the gravitational reference sensor, while a PID control law is designed for the satellite platform. Finally, the excellent performance of the control strategy is verified through numerical simulations of the test mass capture process.

Original languageEnglish
Title of host publicationProceedings of the 4th Conference on Fully Actuated System Theory and Applications, FASTA 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2330-2336
Number of pages7
ISBN (Electronic)9798331526924
DOIs
StatePublished - 2025
Event4th Conference on Fully Actuated System Theory and Applications, FASTA 2025 - Nanjing, China
Duration: 4 Jul 20256 Jul 2025

Publication series

NameProceedings of the 4th Conference on Fully Actuated System Theory and Applications, FASTA 2025

Conference

Conference4th Conference on Fully Actuated System Theory and Applications, FASTA 2025
Country/TerritoryChina
CityNanjing
Period4/07/256/07/25

Keywords

  • Gravitational Wave Detection
  • Linear Extended State Observer
  • Model Predictive Control
  • Test Mass Capture

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