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CEAS EuroGNC 2019
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Application of Mean-Motion-Based Artificial Potentials for a Cluster Flight Mission Scenario |
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Abstract: Cluster flight is one of the key technologies that are required to enable the deployment of distributed space systems. Through the concept of cluster flight, a large monolithic structure can be replaced with multiple smaller spacecraft, permitting to overcome physical limitations and improve mission performance. To ensure a safe relative motion between several objects that fly in proximity, the guidance and control algorithm must be designed in order to be scalable, autonomous, and responsive. A technique to meet these requirements by employing the method of the artificial potentials is presented in this paper. For a cluster of spacecraft that are distributed in the along-track direction in a leader-follower manner, the relative distances can be altered by focusing and adjusting the mean motion of the spacecraft. An artificial-potential-based approach can be used to evaluate corrections of the semi-major axes by only reacting on the current configuration, with no need to perform trajectory predictions. |
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Keywords: Adaptive control; Multi-vehicle cooperative decision and control; Spacecraft orbit guidance | ||||||
Federico Fumenti, David Seelbinder, Stephan Theil: Application of Mean-Motion-Based Artificial Potentials for a Cluster Flight Mission Scenario. Proceedings of the 2019 CEAS EuroGNC conference. Milan, Italy. April 2019. CEAS-GNC-2019-010. |
BibTeX entry: @Incollection{CEAS-GNC-2019-010, authors = {Fumenti, Federico and Seelbinder, David and Theil, Stephan}, title = {Application of Mean-Motion-Based Artificial Potentials for a Cluster Flight Mission Scenario}, booktitle = {Proceedings of the 2019 {CEAS EuroGNC} conference}, address = {Milan, Italy}, month = apr, year = {2019}, note = {CEAS-GNC-2019-010} } |