(A) study on optimal deployment and maintenance strategy of satellite mega-constellation거대 위성군 최적 전개와 유지보수에 관한 연구

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 189
  • Download : 0
The new era of space-based broadband service has emerged, backed by a satellite mega-constellation in the low Earth orbit. One example is OneWeb which plans to offer high-speed, worldwide internet access using a 6,372-satellite constellation. Space X is also rapidly building up the Starlink constellation, composed of 12,000 satellites. In addition, with the miniaturization of electronics, low manufacturing cost, adequate performance, and reliability, new constellations composed of hundreds to thousands of small satellites to capture the demand of global service have been proposed and deployed. However, the cost involved in these large constellations is enormous, necessitating an integrated strategy for efficient deployment and maintenance. This doctoral thesis addresses issues related to deploying and maintaining satellite mega-constellations. The design of constellation deployment mission and maintenance strategies considered in this thesis can be interpreted as a multi-echelon dual-channel supply chain model. The deployment problem is projected onto the established supply chain model, then is formalized after substituting it with a dynamic network flow problem. The satellite constellation maintenance problem is formalized by replacing it with an inventory management problem that utilizes the established dual-channel supply chain model for spare options that replace failed satellites with new satellites. The optimal deployment problem is represented by mixed-integer linear programming, and the two-phase framework is proposed to establish optimal strategies. The proposed framework consists of an evaluation phase and an optimal planning phase. In order to verify the proposed framework, a OneWeb constellation was selected as a subject for study. The effectiveness of the two-phase framework was analyzed and proved in each phase. The optimal maintenance strategy design problem is expressed as a non-linear integer programming that utilizes inventory management's (s, Q) policy. The channels that constitute a dual-channel supply chain are divided into a normal and an emergency mode. The effectiveness of the proposed model is established through numerical examples and sensitivity analysis on the maintenance of large satellite constellations. The contributions of this thesis are threefold. First, the optimal deployment and spare replenishment problems are defined and mathematically formulated. Second, a novel solution procedure and the framework to deploy and replenish the satellite mega-constellation are defined and developed. Finally, realistic numerical examples are conducted to demonstrate the effectiveness of the proposed problem and developed framework. The results can provide benchmarks for designing and evaluating the constellation deployment and replenishment architecture in the preliminary phase of the mission operation.
Ahn, Jaemyungresearcher안재명researcher
한국과학기술원 :항공우주공학과,
Issue Date

학위논문(박사) - 한국과학기술원 : 항공우주공학과, 2023.2,[vii, 154 p. :]


Small satellite▼aSatellite mega-constellation▼aSatellite constellation deployment▼aSatellite constellation maintenance▼aMission design▼aOptimal planning▼aDynamic logistics▼aMixed-integer linear programming▼aNon-linear integer programming▼aMulti-echelon dual-channel supply chain▼aSupply chain management; 소형 위성▼a거대 위성군▼a위성군 전개▼a위성군 유지보수▼a임무 설계▼a최적 계획▼a동적 물류▼a혼합 정수 선형 계획법▼a비선형 정수 계획법; 다계층 이중 채널 공급망 모델▼a공급망 관리

Appears in Collection
Files in This Item
There are no files associated with this item.


  • mendeley


rss_1.0 rss_2.0 atom_1.0