Attitude Determination System Based on Vector Observations for Satellites Experiencing Sun-Eclipse Phases

Cordova-Alarcon, Jose Rodrigo; Mendoza-Bárcenas, Mario Alberto; Solís-Santomé, A.

doi:10.1007/978-3-319-09858-6_8

Cited by 4 publications

(1 citation statement)

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“…Attitude estimation methods, which take the advantage of the system's mathematical model, may significantly increase the attitude estimation accuracy. In [4], the Sun-eclipse phases are considered to use both traditional and non-traditional methods depending on whether the Sun sensor is operational or not. In the Sun sensor operational mode, the Gauss-Newton method enables to obtain the quaternion estimates for using in EKF.…”

Section: Introductionmentioning

confidence: 99%

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

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Hajiyev

2017

Metrology and Measurement Systems

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The integrated Singular Value Decomposition (SVD) and Unscented Kalman Filter (UKF) method can recursively estimate the attitude and attitude rates of a nanosatellite. At first, Wahba's loss function is minimized using the SVD and the optimal attitude angles are determined on the basis of the magnetometer and Sun sensor measurements. Then, the UKF makes use of the SVD's attitude estimates as measurement results and provides more accurate attitude information as well as the attitude rate estimates. The elements of "Rotation angle error covariance matrix" calculated for the SVD estimations are used in the UKF as the measurement noise covariance values. The algorithm is compared with the SVD and UKF only methods for estimating the attitude from vector measurements. Possible algorithm switching ideas are discussed especially for the eclipse period, when the Sun sensor measurements are not available.

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Section: Introductionmentioning

confidence: 99%