Computer Science – Artificial Intelligence
Scientific paper
Oct 1990
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990gdss.rept..415a&link_type=abstract
In ESA, Ground Data Systems for Spacecraft Control p 415-418 (SEE N91-22189 14-17)
Computer Science
Artificial Intelligence
Artificial Intelligence, Automatic Control, Expert Systems, Ground Based Control, Mission Planning, Operations Research, Automata Theory, Error Detection Codes, Telecommunication
Scientific paper
A knowledge system which utilizes artificial intelligence technology to automate a subset of real time mission operations functions is described. An overview of spacecraft telecommunications operations at the Jet Propulsion Laboratories (JPL) highlights requirements for automation. The knowledge system, called the Spacecraft Health Automated Reasoning Prototype (SHARP), developed to explore methods for automated health and status analysis is outlined. The advantages of the system were demonstrated during the spacecraft's encounter with the planet Neptune. The design of the fault detection and diagnosis portions of SHARP is discussed. The performance of SHARP during the encounter is discussed along with issues and benefits arising from application of knowledge system to mission operations automation.
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