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Structure Preserving Approximations ofConservative Forcesfor Application to Small Body Dynamics

机译:适用于小体动力学的应保存近似的近似

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Approximation based methods, such as the cubetree algorithm, have proved to be signifi-cantly faster than traditional methods for complex force evaluations near small irregular bodies. Such methods also hold the promise of simplifying the inclusion of experimental data to update the force model. However, the cubetree algorithm does not preserve intrinsic properties of gravitational force such as continuity, divergence freedom or exactness. These properties may be needed for trajectory optimization, for the use of geometric (e.g. symplectic) integrators for long term propagation and for other trajectory design problems. This paper presents several adaptive schemes preserving global continuity, exactness or divergence-freedom and discusses the difficulties involved in preserving all of these properties globally.
机译:基于近似的方法,例如CubeTree算法,已经证明比传统的方法在小不规则体内的复杂力评估中的传统方法得分,所以已经显着。此类方法还具有简化纳入实验数据来更新力模型的承诺。然而,Cubetree算法不保留重力的内在特性,例如连续性,发散自由度或精确性。轨迹优化可能需要这些属性,用于使用几何(例如辛)集成商进行长期传播和用于其他轨迹设计问题。本文介绍了一种保护全球连续性,精确性或分歧 - 自由的若干自适应方案,并讨论了在全球范围内保护所有这些物业所涉及的困难。

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