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Gyroless Satellite Attitude Estimation for Square Root Unscented Kalman Filter

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2005年04期
Page:
399-402
Research Field:
Publishing date:

Info

Title:
Gyroless Satellite Attitude Estimation for Square Root Unscented Kalman Filter
Author(s):
JIANG Xue-yuan MA Guang-fu
School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Keywords:
Unscented Kalman filter attitude estimation nonlinear filter satellites
PACS:
V448
DOI:
-
Abstract:
The algorithm based on the square root Unscented Kalman filter (UKF) is presented to solve the att itude and rate est imation problem for gyroless satellite. To avoid the singular problem from Euler angle, quaternion parameterizat ion is implemented to describe the attitude. Considering the satellite nonlinear model, the orthogonalization and Cholesky decomposition are used as computational tools in square root UKF, rendering the state covariance with positive sem-i definiteness and exceptional estimat ion accuracy. The attitude estimation algorithm is simple in computation, and no Jacobian matrix is required to be calculated in the proposed algorithm. The efficiency of the square root UKF est imator is tested through numerical simulat ion of a fully actuated rigid body with only three-axismagnetometers (TAM) . The simulat ion results show that the algorithm is feasible and efficient.

References:

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Last Update: 2013-03-03