European Satellite Benchmark for Control Education and Industrial Training
Francesco Sanfedino, Paolo Iannelli, Daniel Alazard, \'Emilie Pelletier, Samir Bennani, B\'en\'edicte Girouart

TL;DR
This paper introduces a satellite benchmark designed to bridge the gap between research and industrial practice in Guidance, Navigation, and Control (GNC), aiding in training and demonstrating industrial relevance of advanced algorithms.
Contribution
It presents a novel benchmark for GNC that incorporates complex modeling and control algorithms, fostering industrial adoption and training of future engineers.
Findings
Demonstrates the relevance of advanced GNC algorithms for industry
Provides a comprehensive modeling and control architecture
Facilitates training of future GNC engineers
Abstract
To overcome the innovation gap of the Guidance, Navigation and Control (GNC) design process between research and industrial practice a benchmark of industrial relevance has been developed and is presented. This initiative is driven as well by the necessity to train future GNC engineers and the GNC space community on a set of identified complex problems. It allows to demonstrate the relevance of state-of-the-art modeling, control and analysis algorithms for future industrial adoption. The modeling philosophy for robust control synthesis, analysis including the control architecture that enables the simulation of the mission, i.e. the acquisition of a high pointing space mission, are provided.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpacecraft Design and Technology
MethodsSparse Evolutionary Training
