Satellite Attitude Identification and Prediction Based on Neural Network Compensation
Author:
Affiliation:
1. School of Aerospace Engineering, Tsinghua University, Beijing 100084, China.
2. School of Engineering, University of Central Lancashire, Preston PR1 1XJ, UK.
3. School of Astronuatics, Beihang University, Beijing 102206, China.
Abstract
Publisher
American Association for the Advancement of Science (AAAS)
Subject
General Medicine
Link
https://spj.science.org/doi/pdf/10.34133/space.0009
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3. Guler DC Kaymaz Z Hajiyev C. Geomagnetic models at low Earth orbit and their use in attitude determination. Paper presented at: 2017 8th International Conference on Recent Advances in Space Technologies (RAST); 2017 June 19–22; Istanbul Turkey.
4. Habila A. S. K. Steyn W. H. In-orbit estimation of the slow varying residual magnetic moment and magnetic moment induced by the solar cells on cubesat satellites. Paper presented at: 2020 International Conference on Computer Control Electrical and Electronics Engineering (ICCCEEE); 2021 Feb 26–01 March;Khartoum Sudan. p. 1–6.
5. Introduction of an atmospheric moment combining eulerian and lagrangian aspects of vortices: Application to tornadoes;Schielicke L;Atmos Res,2011
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