A Computational Intelligence (CI) Approach to the Precision Mars Lander Problem Contributor(s): Nasa, National Aeronautics and Space Adm (Author) |
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ISBN: 1726691403 ISBN-13: 9781726691406 Publisher: Independently Published
Binding Type: Paperback Published: October 2018 * Out of Print * |
Additional Information |
BISAC Categories: - Science | Space Science |
Physical Information: 0.08" H x 8.5" W x 11" L (0.26 lbs) 40 pages |
Descriptions, Reviews, Etc. |
Publisher Description: A Mars precision landing requires a landed footprint of no more than 100 meters. Obstacles to reducing the landed footprint include trajectory dispersions due to initial atmospheric entry conditions such as entry angle, parachute deployment height, environment parameters such as wind, atmospheric density, parachute deployment dynamics, unavoidable injection error or propagated error from launch, etc. Computational Intelligence (CI) techniques such as Artificial Neural Nets and Particle Swarm Optimization have been shown to have great success with other control problems. The research period extended previous work on investigating applicability of the computational intelligent approaches. The focus of this investigation was on Particle Swarm Optimization and basic Neural Net architectures. The research investigating these issues was performed for the grant cycle from 5/15/01 to 5/15/02. Matlab 5.1 and 6.0 along with NASA's POST were the primary computational tools. Birge, Brian and Walberg, Gerald Langley Research Center |
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