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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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In this paper we will discuss how artificial intelligent technologies are synergistically integrated in multi-layer control architecture to enable a virtual spacecraft science agent.
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The 13.8 GHz Precipitation Radar (PR) aboard the US/Japan Tropical Rainfall Measuring Mission (TRMM) satellite is the first rain profiling radar ever launched into space. A TRMM follow-on mission, called the Global Precipitation Mission (GPM), is currently planned to extend and improve the TRMM acquired rainfall data set.
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This paper describes intra-layer architecture of a neuroprocessor organized in a SIMD configuration and the two challenging applications, misfire detection and engine idle speed control, that had served as the focus of this effort.
The performance, development and testing of the prototype spectrometer are discussed as well as potential applications for future missions.
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Unscreened commercial, off-the-shelf (COTS) parts, in space applications are especially encouraging when the possibility of capitalizing on the extensive development for high-volume consumer applications is considered. Other applications for MMIC parts in space could possibly open new doors in the future.
This paper surveys the technologies for the PR-2 and describes the developments in the areas of: membrane antennas with inflatable structure, Ka-band phased arrays, and real time digital pulse compression.
New standards for space/ground communications protocols are suggested for the following areas: a) file transfer based on the Internet, b) transport based on the Internet TCP/UDP, c) security derived from the ISO NLSP, a new space network, and a new space data link.
Standardizing the exchange of data through communications channels that connect spacecraft with their ground systems reduces costs. Efficient coding and packetization promote the automated, error-free transfer of data.
A distributed monitoring and diagnosis system has been developed and successfully applied to real-time monitoring of interplanetary spacecraft at NASA's Jet Propulsion Laboratory. This system uses a combination of conventional processing and artificial intelligence.
A distributed monitoring and diagnosis system has been developed and successfully applied to real-time monitoring of interplanetary spacecraft at NASA's Jet Propulsion Laboratory.