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
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;
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
DOI :
10.1109/WAC.2006.375979