DocumentCode :
1610709
Title :
High Accuracy Attitude Estimation and Control for Spacecraft under Strong Atmosphere Perturbations
Author :
Gao, Yudong ; Hu, Min ; Zeng, Guoqiang
Author_Institution :
Inst. of Aerosp. & Mater. Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2012
Firstpage :
579
Lastpage :
583
Abstract :
This paper investigates the high accuracy attitude estimation and control problem for spacecraft under strong atmosphere perturbation. Firstly, the atmosphere perturbations are analyzed and the attitude dynamic and kinematic equations are introduced. Then, three-axis fiber gyro and star sensor are adopted and the extended Kalman filter (EKF) are used for high accuracy attitude estimation. The reaction wheels are adopted and the magnetic torque rods are used for magnetic unloading, the feedback control law is put forward based on the feedback linearization method. Finally, numerical simulations are carried out and the results show that the proposed methods are effective and feasible, which can realize the high accuracy attitude estimation and control for spacecraft.
Keywords :
Kalman filters; aircraft control; attitude control; linearisation techniques; nonlinear filters; numerical analysis; space vehicles; EKF; attitude dynamic; extended Kalman filter; feedback control law; feedback linearization method; high accuracy attitude estimation; kinematic equations; magnetic torque rods; magnetic unloading; numerical simulations; spacecraft control; star sensor; strong atmosphere perturbation; three-axis fiber gyro; Aerodynamics; Attitude control; Estimation; Mathematical model; Space vehicles; Torque; Wheels; attitude control; attitude estimation; extened Kalman filter; low earth orbit (LEO); spacecraft; strong atmosphere perturbation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
Type :
conf
DOI :
10.1109/ICICEE.2012.158
Filename :
6322447
Link To Document :
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