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DYNAMIC AUTONOMOUS INTELLIGENT CONTROL OF AN ASTEROID LANDER

机译:星空飞行器的动态自主智能控制

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One of the future °agship missions ofrnthe European Space Agency (ESA) is the asteroidrnsample return mission Marco-Polo. Although therernhave been a number of past missions to asteroids, arnsample has never been successfully returned. The re-rnturn of asteroid regolith to the Earth's surface intro-rnduces new technical challenges. This paper comparesrndi?erent attitude control algorithms for the descentrnphase onto an asteroid in micro-gravity conditionsrnand draws a comparison between the algorithms con-rnsidered. Two studies are also performed regardingrnthe Fault Detection Isolation and Recovery (FDIR)rnof the control laws considered. The potential of us-rning Direct Adaptive Control (DAC) as a controller forrnthe surface sampling process is also investigated. Usernof a DAC controller incorporates increased levels ofrnrobustness by allowing realtime variation of controlrngains. This leads to less fuel consumption in additionrnto a better response to uncertainties encountered dur-rning missions.
机译:欧洲航天局(ESA)未来的载人飞行任务之一是小行星样品返回任务马可波罗。尽管过去曾进行过多次小行星飞行任务,但arnsample从未成功返回。小行星碎石重新向地球表面的引入带来了新的技术挑战。本文比较了微重力条件下小行星下降相的不同姿态控制算法,并对所考虑的算法进行了比较。还针对所考虑的控制规律对故障检测隔离和恢复(FDIR)进行了两项研究。还研究了将直接自适应控制(DAC)用作表面采样过程控制器的潜力。 DAC控制器的用户通过允许控制增益的实时变化,增强了鲁棒性水平。这样可以减少燃料消耗,而且可以更好地应对任务期间遇到的不确定性。

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