Date of Award
Thesis - Open Access
Master of Science in Aerospace Engineering
First Committee Member
Second Committee Member
Third Committee Member
The advancement of 5G and Internet-of-Things technologies has presented new challenges for telecommunications providers. One of the challenges is integrating these technologies with present networks. A solution has been found in low-Earth orbit satellite constellations. On one hand, this method increases coverage and reduces costs, but on the other it raises new problems like how to efficiently manage large constellations of spacecraft. This thesis introduces the Constellation Management System, developed in collaboration with i2Cat foundation. This novel tool is composed of two modules: the simulator and the scheduler. The former propagates satellite motion and computes visibility events to various targets across the globe, while the latter utilizes this information to generate an optimized task plan for all nodes in the network. The simulator is the focus of this work. Testing conducted in this investigation using several scenarios demonstrates the simulator's accuracy in both propagation and window determination. A new Lambert's solver employing the Theory of Functional Connections is developed, using functional interpolation to integrate the perturbed dynamics and boundary conditions directly into the formulation. The TFC framework allows the development of a faster, more robust algorithm compared to current methods.
Scholarly Commons Citation
Criscola, Franco, "Development of a constellation simulator for a 5G/IoT mission planning system" (2023). Doctoral Dissertations and Master's Theses. 785.