Skip to main navigation Skip to search Skip to main content

On-Orbit Interval Estimation of Satellite Inertia Parameter Based on Zonotopic Kalman Filter

  • Zhenhua Wang*
  • , Ning Wang
  • , Ali Zolghadri
  • , Zhenwen Zhao
  • , Yi Shen
  • *Corresponding author for this work
  • CAS - Beijing Institute of Control Engineering
  • Harbin Institute of Technology
  • University of Bordeaux

Research output: Contribution to journalArticlepeer-review

Abstract

Accurately determining a satellite's moment of inertia is crucial for its flight mission, as it can change due to fuel depletion or other factors. This article proposes an interval estimation approach using a zonotopic Kalman filter to determine the satellite's moment of inertia. The proposed method is based on the attitude dynamics and conservation of angular momentum of satellites, using data from the satellite's gyroscopes and Hall sensors in the reaction wheels. Given the measurement noise interval from these sensors, interval estimation of the satellite's inertia parameter is performed using a zonotopic Kalman filter. This process necessitates a maneuver involving rotation around all three axes to achieve an accurate and consistent estimation of the inertia interval. Numerical simulations are provided to show the effectiveness of the proposed estimation method.

Original languageEnglish
Pages (from-to)15808-15818
Number of pages11
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume61
Issue number6
DOIs
StatePublished - 2025

Keywords

  • Interval estimation
  • moment of inertia
  • satellite
  • zonotope

Fingerprint

Dive into the research topics of 'On-Orbit Interval Estimation of Satellite Inertia Parameter Based on Zonotopic Kalman Filter'. Together they form a unique fingerprint.

Cite this