Three-axis attitude estimation of satellite through only two-axis magnetometer observations using LKF algorithm

Mohamad Fakhari Mehrjardi, Hilmi Sanusi, Mohd Alauddin Mohd. Ali

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Estimation of satellite three-axis attitude using only one sensor data presents an interesting estimation problem. A flexible and mathematically effective filter for solving the satellite three-axis attitude estimation problem using two-axis magnetometer would be a challenging option for space missions which are suffering from other attitude sensors failure. Mostly, magnetometers are employed with other attitude sensors to resolve attitude estimation. However, by designing a computationally efficient discrete Kalman filter, full attitude estimation can profit by only two-axis magnetometer observations. The method suggested solves the problem of satellite attitude estimation using linear Kalman filter (LKF). Firstly, all models are generated and then the designed scenario is developed and evaluated with simulation results. The filter can achieve 10e-3 degree attitude accuracy or better on all three axes.

Original languageEnglish
Pages (from-to)577-590
Number of pages14
JournalMetrology and Measurement Systems
Volume22
Issue number4
DOIs
Publication statusPublished - 1 Dec 2015

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Kalman filters
Magnetometers
magnetometers
Satellites
Sensors
sensors
filters
Profitability
space missions

Keywords

  • LKF
  • Observations
  • PD controller
  • Satellite three-axis attitude estimation
  • Two-axis magnetometer

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation

Cite this

Three-axis attitude estimation of satellite through only two-axis magnetometer observations using LKF algorithm. / Mehrjardi, Mohamad Fakhari; Sanusi, Hilmi; Mohd. Ali, Mohd Alauddin.

In: Metrology and Measurement Systems, Vol. 22, No. 4, 01.12.2015, p. 577-590.

Research output: Contribution to journalArticle

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