Attitude Determination System for a Cubesat Experiencing Eclipse
Author:
Mmopelwa Kesaobaka1ORCID, Ramodimo Teddy Tumisang1ORCID, Matsebe Oduetse1, Basutli Bokamoso2ORCID
Affiliation:
1. Department of Mechanical, Energy, and Industrial Engineering, Fauculty of Engineering, Botswana International University of Science and Technology, Private Bag 16, Palapye 10071, Botswana 2. Department of Electrical, Computer, and Telecommunications Engineering, Fauculty of Engineering, Botswana International University of Science and Technology, Private Bag 16, Palapye 10071, Botswana
Abstract
In the context of Kalman filters, the predicted error covariance matrix Pk+1 and measurement noise covariance matrix 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.
Funder
Botswana International University of Science and Technology
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference38 articles.
1. A survey and assessment of the capabilities of Cubesats for Earth observation;Selva;Acta Astronaut.,2012 2. Carrara, V., Kuga, H.K., Bringhenti, P.M., and de Carvalho, M.J. (2014, January 9). Attitude determination, control and operating modes for CONASAT Cubesats. Proceedings of the 24th International Symposium on Space Flight Dynamics (ISSFD), Laurel, MD, USA. 3. Mahmood, N.H., Böcker, S., Munari, A., Clazzer, F., Moerman, I., Mikhaylov, K., Lopez, O., Park, O.S., Mercier, E., and Bartz, H. (2020). White paper on critical and massive machine type communication towards 6G. arXiv. 4. Xia, X., Sun, G., Zhang, K., Wu, S., Wang, T., Xia, L., and Liu, S. (2017, January 28–30). NanoSats/CubeSats ADCS survey. Proceedings of the 2017 29th Chinese Control And Decision Conference (CCDC), Chongqing, China. 5. Real-time monitoring of construction sites: Sensors, methods, and applications;Rao;Autom. Constr.,2022
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