Unscented Kalman filter for spacecraft attitude estimation using modified Rodrigues parameters and real data
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Data
2016-10-01
Autores
Garcia, Roberta Veloso
de Freitas Oliveira Matos, Nicholas
Kuga, Hélio Koiti [UNESP]
Zanardi, Maria Cecılia
Título da Revista
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Resumo
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.
Descrição
Palavras-chave
Attitude estimation, Modified Rodrigues parameters, Quaternion, Real data, Unscented Kalman filter
Como citar
Computational and Applied Mathematics, v. 35, n. 3, p. 835-846, 2016.