Prioritizing Satellite Payload Selection via Optimization
Versandkostenfrei!
Versandfertig in über 4 Wochen
58,99 €
inkl. MwSt.
PAYBACK Punkte
29 °P sammeln!
This thesis develops optimization models for prioritizing payloads for inclusion on satellite buses with volume, power, weight and budget constraints. The first model considers a single satellite launch for which the budget is uncertain and constellation requirements are not considered. Subsequently, we include constellation requirements and provide a more enhanced model. Both single-launch models provide a prioritized list of payloads to include on the launch before the budget is realized. The single-launch models are subsequently extended to a sequence of multiple launches in two cases, both...
This thesis develops optimization models for prioritizing payloads for inclusion on satellite buses with volume, power, weight and budget constraints. The first model considers a single satellite launch for which the budget is uncertain and constellation requirements are not considered. Subsequently, we include constellation requirements and provide a more enhanced model. Both single-launch models provide a prioritized list of payloads to include on the launch before the budget is realized. The single-launch models are subsequently extended to a sequence of multiple launches in two cases, both of which incorporate an explicit dependence on the constellation composition at each launch epoch. The first case ignores future launches and solves a series of independent single-launch problems. The second case considers all launches simultaneously. The optimization models for single- and multiple-launch cases are evaluated through a computational study. It was found that, when the budget distribution is skewed, the prioritization model outperforms a greedy payload selection heuristic in the single-launch model. For the multiple-launch models, it was found that the consideration of future launches can significantly improve the objective function values.
Andere Kunden interessierten sich für
