DocumentCode :
2925617
Title :
Fuzzy-Logic Based Selection of Surface Feature Observations for Small Body Proximity Operations
Author :
Howard, Ayanna M.
Author_Institution :
Georgia Inst. of Technol., Atlanta
fYear :
2006
fDate :
24-26 July 2006
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we discuss the development of an autonomous system capable of maintaining surface feature references within sensor view by recommending spacecraft trajectory adjustments based on predefined criteria. The ability to localize with respect to terrain features is a necessary component for increasing the reliability of spacecraft position estimation during small body operations. The proposed algorithm uses the concept of fuzzy logic to maintain satisfaction of a number of feature selection criteria, which, when satisfied, allow consistent updating of feature observations. We provide details of the algorithm in this paper, and present results from integrating the algorithm into a small body descent simulator.
Keywords :
aerospace simulation; aircraft control; feature extraction; fuzzy logic; position control; autonomous spacecraft control; autonomous system development; feature selection criteria; fuzzy surface feature observation planner; fuzzy-logic based selection; small body descent simulator; small body proximity operation; spacecraft position estimation; spacecraft trajectory adjustment; Aerospace engineering; Automation; Fuzzy logic; Fuzzy systems; Humans; Maintenance engineering; Sensor systems; Space technology; Space vehicles; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
Type :
conf
DOI :
10.1109/WAC.2006.375979
Filename :
4259895
Link To Document :
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