Artículos de revistas
Unscented Kalman filter for spacecraft attitude estimation using modified Rodrigues parameters and real data
Fecha
2016-10-01Registro en:
Computational and Applied Mathematics, v. 35, n. 3, p. 835-846, 2016.
1807-0302
0101-8205
10.1007/s40314-015-0269-5
2-s2.0-84989830400
2-s2.0-84989830400.pdf
Autor
Universidade de São Paulo (USP)
National Institute for Space Research
Universidade Estadual Paulista (Unesp)
Federal University of ABC
Institución
Resumen
In this paper, a sigma-point Kalman filter formulation for attitude estimation is derived using the modified Rodrigues parameters and real data of attitude sensors. The unscented Kalman filter algorithm is used for attitude estimation and the gyro-based model is considered for attitude propagation. In this study, the attitude of satellite is estimated using real data supplied by gyros, Earth sensors and Sun sensors that are on board of the CBERS-2 (China Brazil Earth Resources Satellite). The results show that even with a sparse set of measures, the UKF with MRP shows results similar to those obtained when directly uses the Euler angles.