Enhancing The Science Collection Capability Of Nasas Lunar Reconnaissance Orbiter (LRO)
Technical Report,28 Sep 2015,15 Dec 2017
NAVAL POSTGRADUATE SCHOOL MONTEREY CA MONTEREY United States
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The mission of NASAs Lunar Reconnaissance Orbiter LRO was to map the Moons surface when it was launched in 2009. Since then, LROs mission set has expanded to include providing scientific data to contribute to a better understanding of the lunar surface, its history, potential lunar habitat, as well as a more general understanding of human spaceflight for future lunar or other terrestrial missions. With seven different payload instruments onboard the LRO, daily operations of the spacecraft are requested by different scientist communities and ultimately approved and implemented through the LRO mission operations center. The mission effectiveness is limited by the target planning process and the vehicle capabilities. Currently, NASA Goddard is interested in improving the throughput of the mission. The focus of this thesis is to address this challenge and to develop an automated process for target selection as well as solve for a rapid slew to the desired targets. An automated target selection strategy is developed based on bipartite graph theory. An example is presented that demonstrates the usefulness of this approach. To ensure the plan can be executed and the science objectives satisfied, rapid slew maneuvers are developed using optimal control theory. A key challenge to the rapid slew is meeting operational constraints, which are treated as path constraints in optimal control. It is shown that the slew time for a payload instrument science target can be reduced by up to 50.
- Unmanned Spacecraft
- Spacecraft Trajectories and Reentry