Computer Science – Artificial Intelligence
Scientific paper
Nov 1986
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986asee.nasat....c&link_type=abstract
In NASA. Marshall Space Flight Center Research Reports: 1986 NASA/ASEE Summer Faculty Fellowship Program 25 p (SEE N87-16742 08
Computer Science
Artificial Intelligence
Autonomy, Power Efficiency, Space Stations, Spacecraft Power Supplies, Artificial Intelligence, Electric Energy Storage, Hubble Space Telescope, Parameter Identification
Scientific paper
The electric power systems for future spacecraft such as the Space Station will necessarily be more sophisticated and will exhibit more nearly autonomous operation than earlier spacecraft. These new power systems will be more reliable and flexible than their predecessors offering greater utility to the users. Automation approaches implemented on various power system breadboards are investigated. These breadboards include the Hubble Space Telescope power system test bed, the Common Module Power Management and Distribution system breadboard, the Autonomusly Managed Power System (AMPS) breadboard, and the 20 kilohertz power system breadboard. Particular attention is given to the AMPS breadboard. Future plans for these breadboards including the employment of artificial intelligence techniques are addressed.
No associations
LandOfFree
Autonomously managed electrical power systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Autonomously managed electrical power systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Autonomously managed electrical power systems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1149195