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Scalar Adaptive Kalman Filtering for Stellar Inertia! Attitude Determination
Jung, Jae-Woo,Cho, Yun-Cheol,Bang, Hyo-Choong,Tahk, Min-Jea The Korean Society for Aeronautical and Space Scie 2002 International Journal of Aeronautical and Space Sc Vol.3 No.2
This paper describes attitude determination algorithm for the low earth orbit(LEO) spacecraft using stellar inertial sensors. The cascaded gyro/star tracker extended Kalman filter is constructed to fuse two sensor data. And then the smoothing of the measurement are proposed for an unreasonable jump of star tracker. The smoothing algorithm for the rejection of star tracker error jumps is designed by scalar adaptive filter. The proposed algorithms operate to process the measurement of gyro/star tracker Kalman filter, therefore, it is comparatively simple to apply these methods to other integration systems. Simulations to gyro/star tracker integrated system show that the proposed method is effective.
Reconfiguration of Redundant Thrusters by Allocation Method
Jin, Jae-Hyun,Tahk, Min-Jea The Korean Society for Aeronautical and Space Scie 2005 International Journal of Aeronautical and Space Sc Vol.6 No.2
Thrusters are important actuators where air is rare. Since the maintenance or replacement of thrusters is not easy in such an environment, a thrusting system must be highly reliable. Redundant thrusters are used to meet the reliability requirement. In this paper, a reconfiguration problem for those redundant thrusters is discussed, especially the management or distribution logic of redundant thrusters is focused on. The logic has to be changed if faults occur at thrusters. Reconfiguration is to change the distribution logic to accommodate thrusters' faults. The authors propose a reconfiguration algorithm based on the linear programming method. The authors define the reconfiguration problem as an optimization problem. The performance index is a quantity related with total fuel consumption by thrusters. This algorithm can accommodate multiple faults. Numerical examples are given to show the advantage of the proposed algorithm over existing methods.