TY - GEN
T1 - Integrated orbit design and network-based optimization of interplanetary mission architectures
AU - Ikeya, Kosuke
AU - Sakamoto, Hiraku
AU - Chen, Hao
AU - Ho, Koki
N1 - Publisher Copyright:
© 2020 American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This paper proposes a new methodology to optimize the operational scenarios for human and robotic explorations, especially for complex missions with rendezvous. Then, the effectiveness of the new approach is evaluated by optimizing practical mission cases. As human and robotic space missions become more complex, there is a larger need for an effective method to design and optimize these missions. While most traditional mission design methods require human designers in the loop, recent space logistics research has introduced rigorous mathematical optimization to multi-mission space campaign design to (partially) automate the mission design practice. However, these existing methods mainly focus on high-level low-fidelity design and often employ simplifying assumptions regarding the time-related costs and constraints for rendezvous, docking, and gravity assists. In response to this background, this paper proposes a new optimization formulation in space logistics mission design with a rendezvous-implemented time-expanded network that can handle these factors as part of the optimization to increase the fidelity of space logistics optimization significantly. A case study of human spaceflight in cislunar space is used to demonstrate the effectiveness of the proposed method.
AB - This paper proposes a new methodology to optimize the operational scenarios for human and robotic explorations, especially for complex missions with rendezvous. Then, the effectiveness of the new approach is evaluated by optimizing practical mission cases. As human and robotic space missions become more complex, there is a larger need for an effective method to design and optimize these missions. While most traditional mission design methods require human designers in the loop, recent space logistics research has introduced rigorous mathematical optimization to multi-mission space campaign design to (partially) automate the mission design practice. However, these existing methods mainly focus on high-level low-fidelity design and often employ simplifying assumptions regarding the time-related costs and constraints for rendezvous, docking, and gravity assists. In response to this background, this paper proposes a new optimization formulation in space logistics mission design with a rendezvous-implemented time-expanded network that can handle these factors as part of the optimization to increase the fidelity of space logistics optimization significantly. A case study of human spaceflight in cislunar space is used to demonstrate the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85091795283&partnerID=8YFLogxK
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U2 - 10.2514/6.2020-0072
DO - 10.2514/6.2020-0072
M3 - Conference contribution
AN - SCOPUS:85091795283
SN - 9781624105951
T3 - AIAA Scitech 2020 Forum
SP - 1
EP - 15
BT - AIAA Scitech 2020 Forum
T2 - AIAA Scitech Forum, 2020
Y2 - 6 January 2020 through 10 January 2020
ER -