Landing site selection using fuzzy rule-based reasoning

被引：24

作者：

Serrano, Navid ^{[1
]}

Seraji, Homayoun ^{[1
]}

机构：

[1] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA

来源：

PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-10 | 2007年

基金：

美国国家航空航天局;

关键词：

D O I：

10.1109/ROBOT.2007.364234

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, multiple on-board sensors are used to assess the terrain safety in real-time during spacecraft descent. A linguistic, fuzzy rule-based reasoning engine is used to determine terrain safety from sensor measurements and, together with information about required fuel consumption and site science return, provide a figure-of-merit for all possible landing sites. Additional fuzzy rule-sets are used to address spatial and temporal dependence in the reasoning process in order to arrive at a final score for each potential landing site. This landing score is used to retarget the spacecraft if the original landing site is found to be hazardous. Simulation studies are presented for illustration.

引用

页码：4899 / +

页数：2

共 13 条

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