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Trajectory Design Employing Convex Optimization for Landing on Irregularly Shaped Asteroids

机译:采用凸优化对不规则形状的小行星降落的轨迹设计

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摘要

Mission proposals that land spacecraft on asteroids are becoming increasingly popular. However, in order to have a successful mission the spacecraft must reliably and softly land at the intended landing site with pinpoint precision. The problem under investigation is how to design a propellant optimal powered descent trajectory that can be quickly computed onboard the spacecraft, without interaction from the ground control. The propellant optimal control problem in this work is to determine the optimal finite thrust vector to land the spacecraft at a specified location, in the presence of a highly nonlinear gravity field, subject to various mission and operational constraints. The proposed solution uses convex optimization, a gravity model with higher fidelity than Newtonian, and an iterative solution process for a fixed final time problem. In addition, a second optimization method is wrapped around the convex optimization problem to determine the optimal flight time that yields the lowest propellant usage over all flight times. Gravity models designed for irregularly shaped asteroids are investigated. Success of the algorithm is demonstrated by designing powered descent trajectories for the elongated binary asteroid Castalia.
机译:使命提案落地航天器对小行星越来越受欢迎。然而,为了使命成功的使命,航天器必须以精确的精确度在预定的着陆现场可靠和轻柔地降落。正在调查的问题是如何设计一种可以快速计算航天器上的推进剂最佳动力下降轨迹,而无需与地面控制的相互作用。在这项工作中的推进剂最佳控制问题是在经受各种任务和操作约束的情况下确定在特定位置处的最佳有限推力矢量将航天器纳在特定位置。所提出的解决方案使用凸优化,具有比牛顿的更高保真度的重力模型,以及用于固定的最终时间问题的迭代解决方法。此外,围绕凸优化问题缠绕了第二优化方法,以确定最佳飞行时间,从而产生所有飞行时间的最低推进剂使用。研究了为不规则形状的小行星设计的重力模型。通过为细长二元小行星Castalia设计动力下降轨迹来证明算法的成功。

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    Robin M. Pinson; Ping Lu;

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  • 年度 2018
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