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