DocumentCode :
3321841
Title :
Micro-satellite attitude determination: Using Kalman filtering of magnetometer data approach
Author :
Shou, Ho-Nien ; Lin, Chen-Tsung
Author_Institution :
Dept. of Aviation & Commun. Electron., Air Force Inst. of Technol., Kaohsiung, Taiwan
Volume :
2
fYear :
2010
fDate :
5-7 May 2010
Firstpage :
195
Lastpage :
198
Abstract :
This paper presents a new method using UKF(unscented Kalman filtering) for estimating the attitude-quaternion as well as rate with magnetic field data from Three-Axis-Magnetometer(TAM). UKF is a new filtering method suitable to nonlinear systems. The magnetic field components are used to update as measurement is used to propagate the state vector. A globally self-initializing attitude determination filter has been developed to estimate three-axis attitude and attitude rate from magnetometer data only. This filter can serve as the main attitude determination system for a low-weight, low-budget, low-accuracy micro-satellite mission. In this paper, we present a new algorithm without gyro to determine the attitude and attitude rate simultaneously. Numerical simulations are given at last, and the algorithm is confirmed to be feasible and effective.
Keywords :
Kalman filters; attitude measurement; magnetic field measurement; magnetometers; nonlinear systems; UKF; attitude-quaternion estimation; magnetic field components; micro-satellite attitude determination; nonlinear systems; state vector; three-axis magnetometer; unscented Kalman filtering; Extraterrestrial measurements; Filtering; Jacobian matrices; Kalman filters; Magnetic field measurement; Magnetic separation; Magnetometers; Position measurement; Quaternions; Satellites; Three-Axis-Magnetomete; unscented Kalman filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
Type :
conf
DOI :
10.1109/3CA.2010.5533589
Filename :
5533589
Link To Document :
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