DocumentCode :
2336773
Title :
Transfer alignment for experiment´s INS on space moving platform
Author :
Chen, Kai ; Zhao, Gang ; Meng, Zhongjie ; Lu, Hao
Author_Institution :
Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
1823
Lastpage :
1827
Abstract :
This paper deals with transfer alignment between the slave inertial navigation system (INS) of scientific experiment and the master INS of space moving platform. Firstly, the navigation equations of the master and slave INS in J2000 inertial frame are presented. Then, we derive the state equations of transfer alignment model in detail, which include the error equations of the slave INS navigation equations, and the equation of misalignment vector between the master and slave INS. Also, the attitude matching measurement equation is derived. Finally, we obtain the optimal state equations of transfer alignment and the reduced-order state equations in inertial frame. A high precision orbital trajectory generator for INS is designed which has taken the orbital perturbations of space vehicle into account. The simulation results show preliminarily that the misalignment vector error is less than 1 arc-minute under some proper maneuver condition in 10 seconds.
Keywords :
Kalman filters; attitude measurement; inertial navigation; Kalman filter; attitude matching measurement equation; error equation; high precision orbital trajectory generator; slave inertial navigation system; space moving platform; state equation; transfer alignment model; Educational institutions; Equations; Extraterrestrial measurements; Inertial navigation; Kinematics; Master-slave; Missiles; Satellite navigation systems; Silicon compounds; Space vehicles; Kalman filter; alignment; inertial navigation system; space moving platform; transfer alignment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138513
Filename :
5138513
Link To Document :
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