Graphics Processing Unit Resource Optimization for Orbital Alt-Azimuth Targeting Calibration in Alternative Laser Transmission Energetic Infrastructures

Recent climate events have highlighted an increasing need for developing sustainable energetic infrastructures. Mainly, the evolution of existing industrial domains toward sustainability would involve major changes in energy management. As a consequence, research studies have analyzed various possibilities for extending sustainability, with space-based energy applications garnering increased interest as a potential solution to provide the necessary sustainable energy for existing industries. Therefore, this study researched the development of a reduced-complexity orbital ephemerides set to demonstrate the increase in heuristic optimization agent density. Additionally, the required translations were studied and applied to place a hypothetical charging station as a target on planet Earth while considering real-scale interplanetary measurements during studies and simulations. Furthermore, the rocket thruster control analysis validated the consistency of this hypothetical methodology by proving the potential of using simplified ephemerides in coarse optimization, therefore reducing optimization resources. Thus, the results of this study indicate the consistency of this hypothetical optimization process, as evidenced by the similarity between command and error signal outputs. By such means, this improves the probability of finding a global optimum, potentially providing improvements in various aerospace domains in the scenario of orbital calibration optimization. Several future directions were discussed for applying the main concept to real-world operations to assess its actual applicability.