Seven state Kalman filtering for LEO microsatellite attitude determination

Authors:
A. M. Si Mohammed;M. Benyettou;A. Boudjemai;Y. Hashida
Affiliations:
Division de Mécanique Spatiale, Centre National des Techniques Spatiales, Arzew, Algeria;Université des Sciences et de la Technologie «Mohamed Boudiaf », Laboratoire de Modélisation et Simulation, Oran, Algeria;Division de Mécanique Spatiale, Centre National des Techniques Spatiales, Arzew, Algeria;Surrey Satellite Technology Limited, Guilford, Surrey, United Kingdom
Venue:
ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation
Year:
2010

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Nadir attitude pointing control using genetic algorithm for active gravity gradient stabilised microsatellite

EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology

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Abstract

The attitude determination and control subsystem (ADCS) requirement of payload on the Algerian satellite is stringent enough to demand some type of data processing in order to meet attitude determination requirements. This paper details one data filter, the Kalman filter, and more specifically, the 7-state Kalman filter. For the 7-state filter, the state vector defines not only the attitude of the satellite, but also the rates at which the attitude is changing. This paper examines the seven state Kalman filter from a theoretical standpoint before examining practical implementation.