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
20240014294
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Pardha Sai Chadalavada (Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Justin S Green (Langley Research Center Hampton, United States)
R Anthony Williams (Langley Research Center Hampton, United States)
Soumyo Dutta (Langley Research Center Hampton, United States)
Date Acquired
November 12, 2024
Subject Category
AstrodynamicsSpace Communications, Spacecraft Communications, Command and Tracking
Meeting Information
Meeting: AIAA SciTech Forum and Exposition
Location: Orlando, FL
Country: US
Start Date: January 6, 2025
End Date: January 10, 2025
Sponsors: American Institute of Aeronautics and Astronautics