On-Orbit Servicing Optimization Framework with High- and Low-Thrust Propulsion Tradeoff
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2021
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| _version_ | 1866918126797455360 |
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| author | Jonchay, Tristan Sarton du Chen, Hao Isaji, Masafumi Shimane, Yuri Ho, Koki |
| author_facet | Jonchay, Tristan Sarton du Chen, Hao Isaji, Masafumi Shimane, Yuri Ho, Koki |
| contents | This paper proposes an on-orbit servicing logistics optimization framework that is capable of performing the short-term operational scheduling and long-term strategic planning of sustainable servicing infrastructures that involve high-thrust, low-thrust, and/or multimodal servicers supported by orbital depots. The proposed framework generalizes the state-of-the-art on-orbit servicing logistics optimization method by incorporating user-defined trajectory models and optimizing the logistics operations with the propulsion technology and trajectory tradeoff in consideration. Mixed-Integer Linear Programming is leveraged to find the optimal operations of the servicers over a given period, while the Rolling Horizon approach is used to consider a long time horizon accounting for the uncertainties in service demand. Several analyses are carried out to demonstrate the value of the proposed framework in automatically trading off the high- and low-thrust propulsion systems for both short-term operational scheduling and long-term strategic planning of on-orbit servicing infrastructures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2103_08963 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | On-Orbit Servicing Optimization Framework with High- and Low-Thrust Propulsion Tradeoff Jonchay, Tristan Sarton du Chen, Hao Isaji, Masafumi Shimane, Yuri Ho, Koki Optimization and Control Systems and Control This paper proposes an on-orbit servicing logistics optimization framework that is capable of performing the short-term operational scheduling and long-term strategic planning of sustainable servicing infrastructures that involve high-thrust, low-thrust, and/or multimodal servicers supported by orbital depots. The proposed framework generalizes the state-of-the-art on-orbit servicing logistics optimization method by incorporating user-defined trajectory models and optimizing the logistics operations with the propulsion technology and trajectory tradeoff in consideration. Mixed-Integer Linear Programming is leveraged to find the optimal operations of the servicers over a given period, while the Rolling Horizon approach is used to consider a long time horizon accounting for the uncertainties in service demand. Several analyses are carried out to demonstrate the value of the proposed framework in automatically trading off the high- and low-thrust propulsion systems for both short-term operational scheduling and long-term strategic planning of on-orbit servicing infrastructures. |
| title | On-Orbit Servicing Optimization Framework with High- and Low-Thrust Propulsion Tradeoff |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2103.08963 |