Gyroless Nanosatellite Attitude Estimation in Loss of Sun Sensor Measurements

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The paper introduces gyro-free attitude estimation methods for sun and eclipse phases. First of all, traditional and nontraditional attitude estimation approaches are investigated relying on sensor measurements from magnetometer, and sun sensor. For the nontraditional approach, vectors are placed in Wahba's problem and the loss function is minimized by Singular Value Decomposition (SVD) method. The coarse attitude information and their variances from SVD are used in the extended Kalman filter (EKF) as linear measurements in order to estimate the satellite's attitude and angular rate. With using the same filtering parameters and initial conditions in traditional EKF, a comparison is made for the sun phase of the orbit. However, for the eclipse period (in loss of Sun sensor measurements), two additional methods are introduced as the prediction method, and traditional EKF based on only magnetometer measurements. An accuracy performance analysis is performed, for different phases, a switching algorithm is used for better attitude and rate estimation.

Original languageEnglish
Pages (from-to)89-94
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number30
DOIs
Publication statusPublished - 2018

Bibliographical note

Publisher Copyright:
© 2016

Funding

The work was supported in part by TUBITAK (The Scientific and Technological Research Council of Turkey), Grant 113E595. The author D. Cilden-Guler is supported by ASELSAN (Military Electronic Industries) and (Scientific and Technological Research Council of Turkey) PhD Scholarships.

FundersFunder number
Military Electronic Industries
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu113E595
Aselsan

    Keywords

    • attitude estimation
    • eclipse
    • gyro-free
    • nanosatellite

    Fingerprint

    Dive into the research topics of 'Gyroless Nanosatellite Attitude Estimation in Loss of Sun Sensor Measurements'. Together they form a unique fingerprint.

    Cite this