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Onboard Autonomous Trajectory Planning for Mars Power DescentIn recent years, there has been an increasing interest in space-qualified processors such as multi-core central processing units and graphics processing units that can withstand the adverse effects of space radiation. These processors can allow parallel programming to perform tasks that typically demand high computational power. One can study guidance schemes that can take advantage of these currently developing processors and provide more robust guidance. Software for Multi-model Autonomous Real-time Trajectories (SMART) guidance can identify robust trajectories by running an onboard Monte Carlo analysis. SMART guidance can take advantage of knowledge updates obtained from the onboard sensors, allowing it to consider the off-nominal cases that it would not typically encounter during the offline trajectory analysis. This work uses the SMART guidance for the powered divert at Mars simulation in Program to Optimize and Simulated Trajectories- II.
Document ID
20240016209
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Pardha Sai Chadalavada
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Justin S. Green
(Langley Research Center Hampton, United States)
Robert Anthony Williams
(Langley Research Center Hampton, United States)
Soumyo Dutta
(Langley Research Center Hampton, United States)
Date Acquired
December 17, 2024
Subject Category
Astronautics (General)
Meeting Information
Meeting: AIAA SciTech Forum
Location: Orlando, FL
Country: US
Start Date: January 6, 2025
End Date: January 10, 2025
Sponsors: American Institute Aeronautics and Astronautics
Funding Number(s)
WBS: 335803.04.22.23.10.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Autonomous Planning
Trajectory Optimization
Powered Descent
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