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Explicit, near-optimal guidance for power-limited transfers between coplanar circular orbits

机译:共面圆轨道之间功率受限传输的显式,接近最佳的指导

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This paper presents explicit open and closed-loop guidance solutions for power-limited transfers of a spacecraft between two coplanar circular orbits, performed under the Keplerian class of continuous thrust programs, Introduced in an earlier paper, the Keplerian class is parametrized by an arbitrary, differentiable. explicit function of time, given the name the throttling function, and gives rise to a special type of analytically soluble two-dimensional orbital motion. The resulting qualitative and computational simplicity, exact guidance, probable power-limited near optimality, and unlimited two-dimensional maneuverability are the primary characteristics of such motion. The Quadratic subclass of the Keplerian class for which the the throttling function is a quadratic polynomial is used to obtain open and closed-loop solutions that satisfy the boundary conditions exactly, but at the expense of sacrificing part of optimality. By relaxing however the requirement that the initial and final orbits be precisely circular and by replacing it with the practiclly much more meaningful requirement that they be only very nearly circular, with very small (but unimportant) eccentricities, it is shown that the Tangential subclass, corresponding to a constant throttling function and tangential thrust, can be used to obtain open and closed-loop guidance solutions that are identical, trivially, simple to compute in real time, and for sufficiently high transfer duration as good as the corresponding optimal power-limited solutions for all practical purposes.
机译:本文介绍了在连续推力程序的Keplerian类下执行的,用于航天器在两个共面圆形轨道之间进行功率受限转移的显式开环和闭环制导解决方案,在较早的论文中介绍了Keplerian类是由任意参数化的,可区分的。时间的显式函数,被称为节流函数,并产生了一种特殊类型的可解析的二维轨道运动。这样产生的运动的主要特征是定性和计算简单,精确的制导,可能的功率受限的接近最佳性以及无限的二维可操纵性。节流函数是二次多项式的Keplerian类的二次子类用于获得精确满足边界条件的开环和闭环解,但以牺牲部分最优性为代价。但是,通过放宽对初始轨道和最终轨道必须是精确的圆形的要求,并用实际上更有意义的要求(即它们仅是非常接近圆形的,具有很小的(但不重要的)偏心率)代替,就可以证明切向子类,对应于恒定节流函数和切向推力的开环和闭环导向解决方案,它们可以相同,琐碎,易于实时计算,传递时间足够长且与相应的最佳功率限制一样好适用于所有实际目的的解决方案。

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