Persistent Link:
http://hdl.handle.net/10150/612285
Title:
AUTOMATING SATELLITE COMMAND AND CONTROL
Author:
Golden, Constance J.
Affiliation:
Ford Aerospace & Communications Corporation
Issue Date:
1983-10
Rights:
Copyright © International Foundation for Telemetering
Collection Information:
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
Existing spacecraft/satellite control requires access to a group of “experts” familiar with each satellite subsystem to be able to analyze and correct spacecraft malfunctions. When remote, mobile satellite control systems are deployed, these “experts” will not be available. Automation of many of the functions currently being performed by these experts and the operators at the consoles will allow these mobile systems to operate autonomously while correcting for anomalies that can be logically identified. This automation can be achieved by implementing artificial intelligence (AI) processes/techniques to the fault detection, command correction process. Techniques from the artificial intelligence development process and algorithms from statistical forecasting methods will be analyzed and tested for applicability in providing automated spacecraft health and status information for one DOD program. Key issues in applying these processes to all critical DOD programs will be identified and discussed.
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleAUTOMATING SATELLITE COMMAND AND CONTROLen_US
dc.contributor.authorGolden, Constance J.en
dc.contributor.departmentFord Aerospace & Communications Corporationen
dc.date.issued1983-10-
dc.rightsCopyright © International Foundation for Telemeteringen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractExisting spacecraft/satellite control requires access to a group of “experts” familiar with each satellite subsystem to be able to analyze and correct spacecraft malfunctions. When remote, mobile satellite control systems are deployed, these “experts” will not be available. Automation of many of the functions currently being performed by these experts and the operators at the consoles will allow these mobile systems to operate autonomously while correcting for anomalies that can be logically identified. This automation can be achieved by implementing artificial intelligence (AI) processes/techniques to the fault detection, command correction process. Techniques from the artificial intelligence development process and algorithms from statistical forecasting methods will be analyzed and tested for applicability in providing automated spacecraft health and status information for one DOD program. Key issues in applying these processes to all critical DOD programs will be identified and discussed.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123-
dc.identifier.issn0074-9079-
dc.identifier.urihttp://hdl.handle.net/10150/612285-
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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