This paper addresses the problem of spacecraft localization based on angular measurements, for deep space missions. The dynamic model of the spacecraft accounts for several perturbing effects, such as Earth and Moon gravitational field asymmetry and errors associated with the Moon ephemerides. The measurement process is based on elevation and azimuth of Moon and Earth with respect to the spacecraft reference system. Distance measurements are not employed. Position and velocity of the spacecraft are estimated by using both the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF). The performance of the filters are evaluated on an example of Earth-to-Moon transfer mission. Copyright © 2007 IFAC.
Ceccarelli, N., Garulli, A., Giannitrapani, A., Leomanni, M., Scortecci, F. (2007). Spacecraft localization via angle measurements for autonomous navigation in deep space missions. In Proceedings of the 17th IFAC Symposium on Automatic Control in Aerospace (pp.551-556). IFAC Secretariat [10.3182/20070625-5-FR-2916.00094].
Spacecraft localization via angle measurements for autonomous navigation in deep space missions
CECCARELLI N.;GARULLI A.;GIANNITRAPANI A.;LEOMANNI M.;
2007-01-01
Abstract
This paper addresses the problem of spacecraft localization based on angular measurements, for deep space missions. The dynamic model of the spacecraft accounts for several perturbing effects, such as Earth and Moon gravitational field asymmetry and errors associated with the Moon ephemerides. The measurement process is based on elevation and azimuth of Moon and Earth with respect to the spacecraft reference system. Distance measurements are not employed. Position and velocity of the spacecraft are estimated by using both the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF). The performance of the filters are evaluated on an example of Earth-to-Moon transfer mission. Copyright © 2007 IFAC.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/19453
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