Article
Version 1
Preserved in Portico This version is not peer-reviewed
Attitude Determination System for a CubeSat Experiencing Eclipse
Version 1
: Received: 15 May 2023 / Approved: 16 May 2023 / Online: 16 May 2023 (09:09:13 CEST)
A peer-reviewed article of this Preprint also exists.
Mmopelwa, K.; Ramodimo, T.T.; Matsebe, O.; Basutli, B. Attitude Determination System for a Cubesat Experiencing Eclipse. Sensors 2023, 23, 8549. Mmopelwa, K.; Ramodimo, T.T.; Matsebe, O.; Basutli, B. Attitude Determination System for a Cubesat Experiencing Eclipse. Sensors 2023, 23, 8549.
Abstract
In the context of Kalman filters, the predicted error covariance matrix $\mathbf{P}_{k+1}$ and measurement noise covariance matrix $\mathbf{R}$ are used to represent the uncertainty of state variables and measurement noise, respectively. However, in real-world situations, these matrices may vary with time due to measurement faults. To address this issue in CubeSat attitude estimation, an adaptive extended Kalman filter has been proposed that can dynamically estimate the predicted error covariance matrix and measurement noise covariance matrix using an expectation-maximization approach. Simulation experiments have shown that this algorithm outperforms existing methods in terms of attitude estimation accuracy, particularly in sunlit and shadowed phases of the orbit, with the same filtering parameters and initial conditions.
Keywords
Attitude estimation; expectation maximization; CubeSat; extended Kalman filtering; attitude kinematics
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment