Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Unscented Kalman Filter for Determination of Spacecraft Attitude Using Different Attitude Parameterizations and Real Data

Full text
Author(s):
Garcia, Roberta Veloso [1] ; Kuga, Helio Koiti [2] ; Zanardi, Maria Cecilia F. P. S. [3]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Escola Engn Lorena, Dept Ciencias Basicas & Ambientais, Estr Municipal Campinho S-N, BR-12602810 Lorena, SP - Brazil
[2] Inst Nacl Pesquisas Espaciais, Coordenacao Geral Engn & Tecnol Espacial, Div Mecan Espacial & Controle, BR-12201 Sao Jose Dos Campos, SP - Brazil
[3] Univ Fed ABC, Ctr Engn Modelagem & Ciencias Sociais Aplicadas, Santo Andre, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: JOURNAL OF AEROSPACE TECHNOLOGY AND MANAGEMENT; v. 8, n. 1, p. 82-90, JAN-MAR 2016.
Web of Science Citations: 5
Abstract

The non-linear estimators are certainly the most important algorithms applied to real problems, especially those involving the attitude estimation of spacecraft. The purpose of this paper was to use real data of sensors to analyze the behavior of Unscented Kalman Filter (UKF) in attitude estimation problems when it is represented in different ways and compare it with the standard estimator for non-linear estimation problems. The robustness of the estimation was performed when this was subjected to imprecise initial conditions. The attitude parametrization was described in Euler angles, quaternion and quaternion incremental. The satellite China-Brazil Earth Resources Satellite and measurements provided by the Satellite Control Center of the Instituto Nacional de Pesquisas Espaciais were considered in the study. The results indicate that the behaviors for both estimators were equivalent for such parameterizations under the same conditions. However, comparing the Unscented Kalman Filter with the standard filter for non-linear systems, Extended Kalman Filter (EKF), it was observed that, in the presence of inaccurate initial conditions, the Unscented Kalman Filter presented a fast convergence whereas Extended Kalman Filter had problems and only converged later on. (AU)

FAPESP's process: 12/21023-6 - Artificial satellite dynamics
Grantee:Rodolpho Vilhena de Moraes
Support Opportunities: Research Projects - Thematic Grants