REKF and RUKF for pico satellite attitude estimation in the presence of measurement faults

Date

2014-04-01

Author

Söken, Halil Ersin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

173
views

0
downloads

When a pico satellite is under normal operational conditions, whether it is extended or unscented, a conventional Kalman filter gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunctions in the estimation system, the Kalman filter gives inaccurate results and diverges by time. This study compares two different robust Kalman filtering algorithms, robust extended Kalman filter (REKF) and robust unscented Kalman filter (RUKF), for the case of measurement malfunctions. In both filters, by the use of defined variables named as the measurement noise scale factor, the faulty measurements are taken into the consideration with a small weight, and the estimations are corrected without affecting the characteristic of the accurate ones. The proposed robust Kalman filters are applied for the attitude estimation process of a pico satellite, and the results are compared.

URI

https://hdl.handle.net/11511/69779

Journal

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS

DOI

https://doi.org/10.1109/jsee.2014.00033

Collections

Department of Aerospace Engineering, Article

Suggestions

OpenMETU
Core

REKF and RUKF development for pico satellite attitude estimation in the presence of measurement faults Söken, Halil Ersin (2011-09-01) When a pico satellite is under normal operational conditions, whether it is Extended or Unscented, a conventional Kalman Filter gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunction in the estimation system, Kalman filter gives inaccurate results and diverges by time. This study compares two different robust Kalman filtering algorithms; Robust Extended Kalman Filter (REKF) and Robust Unscented Kalman Filter (REKF) for the case of measure...
Pico satellite attitude estimation via Robust Unscented Kalman Filter in the presence of measurement faults Söken, Halil Ersin (2010-07-01) In the normal operation conditions of a pico satellite, a conventional Unscented Kalman Filter (UKF) gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunction in the estimation system, UKF gives inaccurate results and diverges by time. This study introduces Robust Unscented Kalman Filter (RUKF) algorithms with the filter gain correction for the case of measurement malfunctions. By the use of defined variables named as measurement noise scale...
UKF based in-flight calibration of magnetometers and rate gyros for pico satellite attitude determination Söken, Halil Ersin (Wiley, 2012-05-01) In this paper an unscented Kalman filter based procedure for the bias estimation of both the magnetometers and the gyros carried onboard a pico satellite, is proposed. At the initial phase, biases of three orthogonally located magnetometers are estimated as well as the attitude and attitude rates of the satellite. During the initial period after the orbit injection, gyro measurements are accepted as bias free since the precise gyros are working accurately and the accumulated gyro biases are negligible. At t...
UKF based in-flight calibration of magnetometers and rate gyros for pico satellite attitude determination Söken, Halil Ersin (2010-01-01) In this paper an Unscented Kalman filter based procedure for the bias estimation of both the magnetometers and the gyros, which are carried onboard by a pico satellite, is proposed. At the initial phase, biases of three orthogonally located magnetometers are estimated as well as the attitude and attitude rates of the satellite. During initial period after the orbit injection, gyro measurements are accepted as bias free since the precise gyros are working accurately and the accumulated gyro biases are neglig...
Reconfigurable UKF for in-flight magnetometer calibration and attitude parameter estimation Söken, Halil Ersin (2011-01-01) In this study a reconfigurable unscented Kalman filter (UKF) based algorithm for the estimation of magnetometer biases and scale factors is proposed as a part of the attitude estimation scheme of a pico satellite. Algorithm is composed of two stages; in first stage UKF estimates magnetometer biases and scale factors as well as six attitude parameters of the satellite. Differently from the existing algorithms, scale factors are not treated together with the other parameters as a part of the state vector; thr...

Citation Formats

H. E. Söken, “REKF and RUKF for pico satellite attitude estimation in the presence of measurement faults,” JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, pp. 288–297, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69779.