A Guidance Law for Terminal Phase Exo-Atmospheric Interception Against a Maneuvering Target using Angle-Only Measurements Optimized using Reinforcement Meta-Learning
Name
2020_scitech01.pdf
Description
Accepted version
Size
1.21 MB
Format
Unknown
Checksum (MD5)
16d69c65a5c968450194cdc095d0212c
Author(s)
Gaudet, Brian
Furfaro, Roberto
Linares, Richard
Date Issued
January 2020
Journal
AIAA Scitech 2020 Forum
Publisher
American Institute of Aeronautics and Astronautics
Citation
2020. "A Guidance Law for Terminal Phase Exo-Atmospheric Interception Against a Maneuvering Target using Angle-Only Measurements Optimized using Reinforcement Meta-Learning." AIAA Scitech 2020 Forum, 1 PartF.
Version
Author's final manuscript
Abstract
We present a novel guidance law that uses observations consisting solely of seeker line of sight angle measurements and their rate of change. The policy is optimized using reinforcement meta-learning and demonstrated in a simulated terminal phase of a mid-course exo-atmospheric interception. Importantly, the guidance law does not require range estimation, making it particularly suitable for passive seekers. The optimized policy maps stabilized seeker line of sight angles and their rate of change directly to commanded thrust for the mis-sile’s divert thrusters. The use of reinforcement meta-learning allows the optimized policy to adapt to target acceleration, and we demonstrate that the policy has superior performance as compared to augmented zero-effort miss guidance with perfect target acceleration knowledge. The optimized policy is computationally efficient and requires minimal memory, and should be compatible with today’s flight processors.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.2514/6.2020-0609
