Abstract

With the ever-growing number of space debris in orbit, the need to prevent further space pollution is becoming more and more apparent. Refueling, servicing, inspection and deorbiting of spacecraft are some example missions that require precise navigation and docking in space. Having multiple, collaborating robots handling these tasks can greatly increase the efficiency of the mission in terms of time and cost. This article will introduce a modern and efficient control architecture for satellites on collaborative docking missions. The proposed architecture uses a centralized scheme that combines state-of-the-art, ad-hoc implementations of algorithms and techniques to maximize robustness and flexibility. It is based on a Model Predictive Controller (MPC) for which, an efficient cost function and constraint sets are designed to ensure safe and accurate docking. A simulation environment is also presented to validate and test the proposed control scheme.

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