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Proceedings Paper

Fuzzy Sets And Autonomous Navigation
Author(s): Robert N. Lea
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Paper Abstract

The problems of dealing with imprecise data and inexact models are inherent to navigation systems. These systems classically have data from sensors feeding into them for use in updating a state vector. A human expert observes the system inputs and outputs and decides whether the system is performing properly. He makes inputs and changes which he considers necessary for the proper processing of the sensor data. Many of the procedures the expert follows are fuzzy procedures in the sense that no algorithm exists that will indicate a precise course of action. These fuzzy procedures deal with using common sense reasoning to process data when a set of conditions are almost satisfied. In this paper, the use of fuzzy sets is considered in modeling the human expert for certain Space Shuttle navigation problems. Particular areas addressed are onboard and ground console data monitoring tasks historically performed by astronauts and engineers. Specific problems include determining the quality of sensor data and determining the quality of the filter state. Results of the study indicate that the fuzzy models can perform as well as the expert on both nominal and non-nominal data.

Paper Details

Date Published: 11 May 1987
PDF: 5 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940655
Show Author Affiliations
Robert N. Lea, NASA/Lyndon B.Johnson Space Center (United States)


Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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