Spacecraft Attitude Estimation using Unscented Kalman Filters, Regularized Particle Filter and extended Hinf Filter (2018)
- Authors:
- Autor USP: GARCIA, ROBERTA VELOSO - EEL
- Unidade: EEL
- Assunto: FILTROS DE KALMAN
- Language: Inglês
- Abstract: In this work, the attitude determination and the gyros drift estimation will be described for nonlinear systems using the Extended Kalman Filter (EKF), Extended Hꝏ Filter (EHꝏF), Second-Order Extended Hꝏ Filter (SOEHꝏF), Unscented Kalman Filter (UKF) and Regularized Particle Filter (RPF). An analysis of these estimation methods will be done, verifying which of them present better precision in such study. The attitude model is described by quaternions and the attitude sensors available are two DSS (Digital Sun Sensors), two IRES (Infrared Earth Sensor), and one triad of mechanical gyros. The application uses the simulated measurement data for orbit and attitude of the CBERS-2 (China Brazil Earth Resources Satellite) which has polar sun-synchronous orbit with an altitude of 778km, making about 14 revolutions per day. In this orbit, the satellite crosses the equator line always at the same local time, around 10:30 am. This dynamics allows the same conditions of solar illumination to be obtained during the acquisition of images. The simulated measurements of the CBERS-2 were provided by the inhouse package PROPAT, a Satellite Attitude and Orbit Toolbox for Matlab. The results in this work show that one can reach accuracies in attitude determination within the prescribed requirements, besides providing estimates of the gyro drifts which can be further used to enhance the gyro error model.
- Source:
- Título: Advances in the astronautical sciences
- ISSN: 0065-3438
- Volume/Número/Paginação/Ano: 2018
-
ABNT
SILVA, William Reis et al. Spacecraft Attitude Estimation using Unscented Kalman Filters, Regularized Particle Filter and extended Hinf Filter. Advances in the astronautical sciences, 2018Tradução . . Acesso em: 26 dez. 2025. -
APA
Silva, W. R., Garcia, R. V., Kuga, H. K., & Zanardi, M. C. F. de P. S. (2018). Spacecraft Attitude Estimation using Unscented Kalman Filters, Regularized Particle Filter and extended Hinf Filter. Advances in the astronautical sciences. -
NLM
Silva WR, Garcia RV, Kuga HK, Zanardi MCF de PS. Spacecraft Attitude Estimation using Unscented Kalman Filters, Regularized Particle Filter and extended Hinf Filter. Advances in the astronautical sciences. 2018 ;[citado 2025 dez. 26 ] -
Vancouver
Silva WR, Garcia RV, Kuga HK, Zanardi MCF de PS. Spacecraft Attitude Estimation using Unscented Kalman Filters, Regularized Particle Filter and extended Hinf Filter. Advances in the astronautical sciences. 2018 ;[citado 2025 dez. 26 ] - Unscented kalman filter for determination of spacecraft attitude using different attitude parameterizations and real data
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