Abstract
Recent advances in autonomous attitude determination instrumentation enable even small satellites flying fully autonomous multi head star trackers providing full accurate and robust attitude information. Each sensor provides the full attitude information but for robustness and optimal usage of the available information, i.e. optimal accuracy, methods for merging such data should be investigated. The need for and desirability of attitude merging depends on the mission objective and available resources. To enable real-time attitude control and reduce requirements on download budget, on-board merging of attitude data will often be advantageous. This should be weighted against the need for post observation reconstruction of attitudes, especially needed when end products are sensitive to optimal attitude reconstruction. Instrument integrated merging algorithms will reduce the complexity of on-board AOCS. Methods for attitude merging are many. Two examples of merging methods taking into consideration anisotropic noise distributions are presented and discussed.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
J.M.G Merayo et al. (2007) The Swarm Magnetometry Package, Small Satellites for Earth Observation, 6th International Symposium of the IAA, Berlin, April 23–26, 2007.
This method has been developed and used by GeoForschungsZentrum Potsdam on the CHAMP satellite.
L. Romans (JPL 2003), Optimal combination of quaternions from multiple star cameras.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Jørgensen, P.S., Jørgensen, J.L., Denver, T. (2008). On-the-Fly Merging of Attitude Solutions. In: Sandau, R., Röser, HP., Valenzuela, A. (eds) Small Satellites for Earth Observation. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6943-7_16
Download citation
DOI: https://doi.org/10.1007/978-1-4020-6943-7_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-6942-0
Online ISBN: 978-1-4020-6943-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)