Attitude motion and sensor bias estimation onboard the SiriusSat-1 nanosatellite using magnetometer only

Autor:	Stepan Sergeevich Tkachev, Artem Kudryavtsev, Danil Ivanov, Dmitry Sergeevich Roldugin, Mikhail Bychek, Roman Zharkikh, Mikhail Ovchinnikov
Rok vydání:	2021
Předmět:	Magnetometer Computer science business.industry Real-time computing Aerospace Engineering Motion (physics) law.invention Onboard computer Extended Kalman filter Software law Physics::Space Physics Orbit (dynamics) CubeSat Satellite business
Zdroj:	Acta Astronautica. 188:295-307
ISSN:	0094-5765
Popis:	The performance of the attitude motion determination algorithm of the SiriusSat-1 nanosatellite is presented. Onboard magnetometer measurements are used. These measurements are strongly affected by the 1U CubeSat onboard magnetic dipoles. The magnetometer bias turned out to be large and rapidly varying according to the estimation by the least squares method (LSM). An extended Kalman Filter (EKF) is applied to track the bias in real time in order to improve the attitude motion determination accuracy. The developed algorithm is first tested on the flight data using the satellite onboard computer prototype. Then the corresponding software was successfully uploaded on the satellite in orbit. In-flight algorithm performance onboard the SiriusSat-1 nanosatellite is evaluated in the paper.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::507580366ad16ee9877f7377bd97fda8 https://doi.org/10.1016/j.actaastro.2021.07.038 Zobrazit plný text záznamu Full Text from ScienceDirect