TY - GEN
T1 - Interstellar Object Accessibility and Mission Design
AU - Donitz, Benjamin P.S.
AU - Mages, Declan
AU - Tsukamoto, Hiroyasu
AU - Dixon, Peter
AU - Landau, Damon
AU - Chung, Soon Jo
AU - Bufanda, Erica
AU - Ingham, Michel
AU - Castillo-Rogez, Julie
N1 - This work is being carried out in part at the Jet Propulsion Laboratory, California Institute of Technology, under contract to NASA. Government sponsorship acknowledged.
PY - 2023
Y1 - 2023
N2 - Interstellar objects (ISOs) are fascinating and under-explored celestial objects, providing physical laboratories to understand the formation of our solar system and probe the composition and properties of material formed in exoplanetary systems. In this work, we investigate approaches to designing successful flyby missions to ISOs. We have generated trajec-tories to a series of synthetic representative ISOs, simulating a ground campaign to observe the target and resolve its state, and determining the cruise and close approach ΔV required for the encounter. We have developed novel deep learning-driven guidance and control algorithms to enable an accurate flyby of an ISO traveling at velocities over 60 km/s.
AB - Interstellar objects (ISOs) are fascinating and under-explored celestial objects, providing physical laboratories to understand the formation of our solar system and probe the composition and properties of material formed in exoplanetary systems. In this work, we investigate approaches to designing successful flyby missions to ISOs. We have generated trajec-tories to a series of synthetic representative ISOs, simulating a ground campaign to observe the target and resolve its state, and determining the cruise and close approach ΔV required for the encounter. We have developed novel deep learning-driven guidance and control algorithms to enable an accurate flyby of an ISO traveling at velocities over 60 km/s.
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UR - http://www.scopus.com/inward/citedby.url?scp=85160511492&partnerID=8YFLogxK
U2 - 10.1109/AERO55745.2023.10115554
DO - 10.1109/AERO55745.2023.10115554
M3 - Conference contribution
AN - SCOPUS:85160511492
T3 - IEEE Aerospace Conference Proceedings
BT - 2023 IEEE Aerospace Conference, AERO 2023
PB - IEEE Computer Society
T2 - 2023 IEEE Aerospace Conference, AERO 2023
Y2 - 4 March 2023 through 11 March 2023
ER -