Rao-Blackwellized particle filter for the CBERS-4 attitude and gyros bias estimation (2020)
- Authors:
- USP affiliated authors: GARCIA, ROBERTA VELOSO - EEL ; PARDAL, PAULA CRISTIANE PINTO MESQUITA - EEL
- Unidade: EEL
- DOI: 10.1016/j.actaastro.2021.07.049
- Assunto: SATÉLITES ARTIFICIAIS
- Keywords: Rao-Blackwellized Particle Filter; Unscented Kalman Filter; CBERS-4; Attitude Estimation; Gyros bias; Artificial Satellites
- Language: Inglês
- Abstract: The Rao-Blackwellized Particle Filter (RaoBPF) and the Unscented Kalman Filter (UKF) were applied in this work to attitude and gyros bias estimation using simulated orbit and attitude measurement data for CBERS-4 (China Brazil Earth Resources Satellite 4) recently in operation. CBERS-4 was launched in 2014, controlled and operated in shifts by China (Xi’an Control Center) and Brazil (Satellite Control Center). Its orbit is heliosynchronous with an inclination of 98.504 degrees, a semi-major axis of 7148.865 km, eccentricity 1.1 × 10−3, crossing equador line at 10h30min in a descending direction with perigee frozen at 90 degrees, which establishes a commitment relationship between a satisfactory amount of solar irradiance, contrast between targets, and the presence of clouds. This configuration provides global coverage every 26 days. The real orbit and attitude measurements were provided by the Satellite Control Center of the National Institute for Space Research (CCS - INPE) from September 1st, 2015. The dynamic attitude model is described by quaternions. The available attitude sensors are two Digital Sun Sensors (DSS), two Infrared Earth Sensor (IRES) and a triad of mechanical gyroscopes. The two IRES give direct measurements of roll and pitch angles with a certain level of error. The two DSS are nonlinear functions of roll, pitch, and yaw attitude angles. The gyros furnish the angular measurements in the body frame reference system. Gyros provide direct incremental angles or angular velocities; however, they present several sources of error, and the drift is the most troublesome. Such drifts yield along time an accumulation of errors which must be accounted in the attitude determination process. The RaoBPF estimation method used to attitude and gyros bias estimation is a technique that exploits the state space structure in order to reduce the number of particles, decreasing the processing
- Source:
- Título: 71st International Astronautical Congress (IAC) - The CyberSpace Edition, 2020.
- Volume/Número/Paginação/Ano: 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVA, William Reis et al. Rao-Blackwellized particle filter for the CBERS-4 attitude and gyros bias estimation. 2020, Anais.. [S.l.]: Escola de Engenharia de Lorena, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.1016/j.actaastro.2021.07.049. Acesso em: 27 dez. 2025. -
APA
Silva, W. R., Garcia, R. V., Pardal, P. C. P. M., Santilli, G., Kuga, H. K., & Zanardi, M. C. F. de P. S. (2020). Rao-Blackwellized particle filter for the CBERS-4 attitude and gyros bias estimation. In 71st International Astronautical Congress (IAC) - The CyberSpace Edition, 2020.. Escola de Engenharia de Lorena, Universidade de São Paulo. doi:10.1016/j.actaastro.2021.07.049 -
NLM
Silva WR, Garcia RV, Pardal PCPM, Santilli G, Kuga HK, Zanardi MCF de PS. Rao-Blackwellized particle filter for the CBERS-4 attitude and gyros bias estimation [Internet]. 71st International Astronautical Congress (IAC) - The CyberSpace Edition, 2020. 2020 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.actaastro.2021.07.049 -
Vancouver
Silva WR, Garcia RV, Pardal PCPM, Santilli G, Kuga HK, Zanardi MCF de PS. Rao-Blackwellized particle filter for the CBERS-4 attitude and gyros bias estimation [Internet]. 71st International Astronautical Congress (IAC) - The CyberSpace Edition, 2020. 2020 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1016/j.actaastro.2021.07.049 - Rao-Blackwellized Particle Filter for the CBERS-4 attitude and gyros bias estimation
- Filtro de partículas rao-blackwellized para estimação de atitude de satélites artificiais usando dados simulados
- A eficiência computacional dos filtros de Kalman não-lineares sob a perspectiva da estimação da atitude
- Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter
- Attitude Estimation Using Extended H Infinity Particle Filter Applied to China-Brazil Earth Resource Satellite-4
- Sequential nonlinear estimation: regularized particle filter applied to the attitude estimation problem with real data
- Interval study of convergence in the solution of 1D Burgers by least squares finite element method (LSFEM) + Newton linearization
- Stability evaluation of sequential estimators applied to orbit determination: Sigma-point and extended kalman filters
- The particle filter sample impoverishment problem in the orbit determination application
- Unscented kalman filter for determination of spacecraft attitude using different attitude parameterizations and real data
Informações sobre o DOI: 10.1016/j.actaastro.2021.07.049 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
