All Outputs (3)

Methodology for CubeSat Debris Collision Avoidance Based on Its Active ADCS System (2023)
Journal Article
González-Rodríguez, D., Orgeira-Crespo, P., Cappelletti, C., & Aguado-Agelet, F. (2023). Methodology for CubeSat Debris Collision Avoidance Based on Its Active ADCS System. Applied Sciences, 13(22), Article 12388. https://doi.org/10.3390/app132212388

This research assesses the feasibility of a collision avoidance methodology for CubeSats lacking propulsion. The approach involves altering the satellite’s orientation to modify its cross-sectional area and, subsequently, the drag force. Examining al... Read More about Methodology for CubeSat Debris Collision Avoidance Based on Its Active ADCS System.

Breaking the Cycle: Novel Capture Mechanisms for Active Space Debris Removal (2023)
Conference Proceeding
Taggart, A., Harris, J., Pushparaj, N., & Cappelletti, C. (2023). Breaking the Cycle: Novel Capture Mechanisms for Active Space Debris Removal.

Since the launch of Sputnik 1 in 1957, over 6000 rockets and more than 11,300 satellites have been launched into space, resulting in a high number of artificial space debris in orbit around Earth. Of this debris, there are over one million objects be... Read More about Breaking the Cycle: Novel Capture Mechanisms for Active Space Debris Removal.

Methodology for optimizing a Constellation of a Lunar Global Navigation System with a multi-objective optimization algorithm (2023)
Journal Article
Arcia Gil, A. D., Renwick, D., Cappelletti, C., & Blunt, P. (2023). Methodology for optimizing a Constellation of a Lunar Global Navigation System with a multi-objective optimization algorithm. Acta Astronautica, 204, 348-357. https://doi.org/10.1016/j.actaastro.2023.01.003

Global Navigation Satellite Systems (GNSS) are not only used in terrestrial applications, but also in Low-Earth orbit satellites and in higher altitude missions. NASA's Magnetospheric Multiscale (MMS) mission has demonstrated the capabilities of exis... Read More about Methodology for optimizing a Constellation of a Lunar Global Navigation System with a multi-objective optimization algorithm.