Kalman Filtering for Spacecraft Attitude Estimation by Low-Cost Sensors

Lee, Henzeh;Choi, Yoon-Hyuk;Bang, Hyo-Choong;Park, Jong-Oh

  • Published : 2008.05.10


In this paper, fine attitude estimation using low-cost sensors for attitude pointing missions of spacecraft is addressed. Attitude kinematics and gyro models including bias models are in general utilized to estimate spacecraft attitude and angular rate. However, a linearized model and a transition matrix are derived in this paper from nonlinear spacecraft dynamics with external disturbances. A Kalman filtering technique is applied and offers relatively high estimation accuracy under dynamic uncertainties. The proposed approach is demonstrated using numerical simulations.


Kalman Filter;low-cost sensors;external disturbance;attitude pointing


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