Attitude and Rate Estimation for Nanosatellite from Vector Measurements Using SVD-Aided UKF Algorithm

AUTHOR(S):

Demet Cilden-Guler, Halil Ersin Soken, Chingiz Hajiyev

TITLE

Attitude and Rate Estimation for Nanosatellite from Vector Measurements Using SVD-Aided UKF Algorithm

ABSTRACT

Singular Value Decomposition (SVD) and unscented Kalman filter (UKF) are interlaced using the Euler angles as the attitude parameter in order to estimate the satellite’s angular motion parameters about center of mass. Magnetometer and sun sensor are used as the vector measurements for SVD in addition to the angular rate measurements from rate gyro for UKF; therefore, the output of the SVD shaped the nontraditional approach as SVD-aided UKF algorithm using the linear measurements.

KEYWORDS

Satellite attitude estimation, magnetometer, sun sensor, rate gyro, unscended Kalman filter, angular velocity, nontraditional approach

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Cite this paper

Demet Cilden-Guler, Halil Ersin Soken, Chingiz Hajiyev. (2017) Attitude and Rate Estimation for Nanosatellite from Vector Measurements Using SVD-Aided UKF Algorithm. International Journal of Mathematical and Computational Methods, 2, 346-353