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dc.contributor.authorGolden, Marilyn
dc.contributor.authorOrtiz, Dennis
dc.date.accessioned2016-06-24T22:10:14Z
dc.date.available2016-06-24T22:10:14Z
dc.date.issued1989-11
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/614691
dc.descriptionInternational Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, Californiaen_US
dc.description.abstractSoftware simulation is playing an increasing role in the entire product development life cycle. However, traditional software simulation tools do not fit easily into the intergrated environment required. Recent AI techniques can alleviate the problems involved with intergrating simulation tools through out the development cycle so they can then become the basis for automated operations after the systems have been deployed. Ford Aerospace has developed a software tool that interacts with the user to model the problem domain. The tool automatically provides a continuous, time-sliced simulation fo the modeled domain's behavior. Model-building is object oriented and requires no programming. The system uses a series of integrated graphic screens, controlled by mouse selection, and therefore requires only a few hours of training. Once developed, the domain model can serve as the knowledge base for trade studies made during the development process for V+V of the system during the testing phases and for automated analysis and fault diagnosis and correction during operations. Most complex functions required to be performed on the gorund to control spacecraft can be automated. The paper will discuss how PARAGON can be used (1) to help the spacecraft designer during the development process indentify the most useful set of telemetry points for TT+, (2) to help the test engineer validate performance against traditional software simulations and hardware prototypes, (3) to train and rehearse operators so a wide-variety of scenarios can be experienced interactively rather than a few pre-planned situations, and (4) to help the operator diagnose and correct complex, unexpected, anomalous situations.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.titleUsing AI To Simulate Spacecraft and Automate operationsen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentFord Aerospaceen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
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
refterms.dateFOA2018-04-27T00:27:49Z
html.description.abstractSoftware simulation is playing an increasing role in the entire product development life cycle. However, traditional software simulation tools do not fit easily into the intergrated environment required. Recent AI techniques can alleviate the problems involved with intergrating simulation tools through out the development cycle so they can then become the basis for automated operations after the systems have been deployed. Ford Aerospace has developed a software tool that interacts with the user to model the problem domain. The tool automatically provides a continuous, time-sliced simulation fo the modeled domain's behavior. Model-building is object oriented and requires no programming. The system uses a series of integrated graphic screens, controlled by mouse selection, and therefore requires only a few hours of training. Once developed, the domain model can serve as the knowledge base for trade studies made during the development process for V+V of the system during the testing phases and for automated analysis and fault diagnosis and correction during operations. Most complex functions required to be performed on the gorund to control spacecraft can be automated. The paper will discuss how PARAGON can be used (1) to help the spacecraft designer during the development process indentify the most useful set of telemetry points for TT+, (2) to help the test engineer validate performance against traditional software simulations and hardware prototypes, (3) to train and rehearse operators so a wide-variety of scenarios can be experienced interactively rather than a few pre-planned situations, and (4) to help the operator diagnose and correct complex, unexpected, anomalous situations.


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