Title:
Framework for Modeling and Optimization of On-Orbit Servicing Operations under Demand Uncertainties
Framework for Modeling and Optimization of On-Orbit Servicing Operations under Demand Uncertainties
| dc.contributor.author | Sarton Du Jonchay, Tristan | |
| dc.contributor.author | Chen, Hao | |
| dc.contributor.author | Gunasekara, Onalli | |
| dc.contributor.author | Ho, Koki | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Aerospace Engineering | en_US |
| dc.date.accessioned | 2022-06-16T17:00:49Z | |
| dc.date.available | 2022-06-16T17:00:49Z | |
| dc.date.issued | 2021-06 | |
| dc.description | © AIAA | en_US |
| dc.description.abstract | This paper develops a framework that models and optimizes the operations of complex on-orbit servicing infrastructures involving one or more servicers and orbital depots to provide multiple types of services to a fleet of geostationary satellites. The proposed method extends the state-of-the-art space logistics technique by addressing the unique challenges in on-orbit servicing applications and integrates it with the Rolling Horizon decision-making approach. The space logistics technique enables modeling of the on-orbit servicing logistical operations as a Mixed-Integer Linear Program whose optimal solutions can efficiently be found. The Rolling Horizon approach enables the assessment of the long-term value of an on-orbit servicing infrastructure by accounting for the uncertain service needs that arise over time among the geostationary satellites. Two case studies successfully demonstrate the effectiveness of the framework for 1) short-term operational scheduling and 2) long-term strategic decision making for on-orbit servicing architectures under diverse market conditions. | en_US |
| dc.description.sponsorship | This work is supported by the Defense Advanced Research Project Agency Young Faculty Award D19AP00127. | en_US |
| dc.identifier.citation | T. Sarton du Jonchay, H. Chen, O. Gunasekara, and K. Ho “Framework for Modeling and Optimization of On-Orbit Servicing Operations under Demand Uncertainties,” Journal of Spacecraft and Rockets, Vol. 58. No. 4, pp. 1157-1173, 2021. DOI: 10.2514/1.A34978 | en_US |
| dc.identifier.doi | https://doi.org/10.2514/1.A34978 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/66798 | |
| dc.title | Framework for Modeling and Optimization of On-Orbit Servicing Operations under Demand Uncertainties | en_US |
| dc.type | Text | |
| dc.type.genre | Post-print | |
| dspace.entity.type | Publication | |
| local.contributor.author | Ho, Koki | |
| local.contributor.corporatename | Daniel Guggenheim School of Aerospace Engineering | |
| relation.isAuthorOfPublication | 399ff8cd-3094-43c0-bc84-9071801e7ebf | |
| relation.isOrgUnitOfPublication | a348b767-ea7e-4789-af1f-1f1d5925fb65 |