Kinematic Batch Estimator for Angular Velocity and Associated Uncertainty

被引:0
作者
Kaki, Siddarth [1 ]
Akella, Maruthi R. [2 ]
机构
[1] Univ Texas Austin, Dept Aerosp Engn & Engn Mech, Austin, TX 78705 USA
[2] Univ Texas Austin, Dept Aerosp Engn & Engn Mech, Engn 19, Austin, TX 78705 USA
基金
美国国家科学基金会;
关键词
Geometry Functions; Probability Distribution Functions; Unscented Kalman Filter; Monte Carlo Experiment; Quaternion Regression Algorithm; Attitude Kinematics; Optimization Algorithm; Angular Velocity; Quaternions; SPACECRAFT ATTITUDE;
D O I
10.2514/1.G007688
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Estimating the relative pose and angular velocity of an uncooperative space object is a critical component for many applications such as on-orbit assembly, inspection, and servicing. This paper presents new mathematical insights that permit a kinematic batch filter formulation for angular velocity estimation using quaternion measurements for relative orientation, thereby eliminating the need to know the moment of inertia of the target. In particular, a novel batch approach to computing the associated uncertainties for the angular velocity magnitude, spin-axis direction, and overall angular velocity vector estimates is presented and compared against previous recursive methodologies. Finally, a realistic use-case scenario is demonstrated in real-time on flightlike hardware.
引用
收藏
页码:1039 / 1054
页数:16
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