• 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