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Tracking the maneuvering spacecraft propelled by swing propulsion of constant magnitude

机译:跟踪由恒定幅度的摆动推进的机动航天器推进

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This paper proposes partially norm-preserving filtering for a class of spacecraft in the presence of time-varying, but constant-magnitude maneuver. The augmented state Kalman filter (ASKF) is commonly used to track the maneuvering spacecraft with unknown constant propulsion; however, if the maneuver varies via time, the estimation performance will be degraded. To promote the tracking performance of the ASKF in case of time-invariant, constant-magnitude disturbance, the partially norm-preserving ASKF is developed by applying the norm constraint on the unknown maneuver. The proposed estimator, which is decomposed into two partial estimators and iteratively propagated in turns, projects the unconstrained maneuver estimation onto the Euclidian surface spanned by the norm constraint. The illustrative numerical example is provided to show the efficiency of the proposed method.
机译:本文提出了在存在时变化但恒定的操纵方面的一类航天器的部分规范滤波。增强状态卡尔曼滤波器(ASKF)通常用于跟踪具有未知恒定推进的机动航天器;但是,如果机动通过时间变化,则估计性能会降低。为了促进ASKF的跟踪性能,在时间不变,恒定幅度扰动,通过应用于未知操作的规范约束来开发部分规范的ASKF。所提出的估计器被分解成两个部分估计,并迭代地逐渐传播,将不受约束的机动估算投入到常规约束跨越的欧氏岛表面上。提供了说明性的数值示例以显示所提出的方法的效率。

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