On the Automation, Optimization, and In-Orbit Validation of Intelligent Satellite Constellation Operations

Autor: Stock, Gregory, Fraire, Juan A., Hermanns, Holger, Cruz, Eduardo, Isaacs, Alastair, Imbrosh, Zhana
Přispěvatelé: Fraire, Juan Andrés, Universität des Saarlandes [Saarbrücken], ALGorithmes et Optimisation pour Réseaux Autonomes (AGORA), CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), gomspace [Aalborg], gomspace, Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)
Rok vydání: 2021
Předmět:
Zdroj: Small Satellite Conference
SmallSat 2021-35 th Annual Small Satellite Conference
SmallSat 2021-35 th Annual Small Satellite Conference, Aug 2021, Logan, United States. pp.1-18
Small Satellite Conference, Jul 2021, Logan, United States
Popis: Recent breakthroughs in technology have led to a thriving "new space" culture in low-Earth orbit (LEO) in which performance and cost considerations dominate over resilience and reliability as mission goals. These advances create a manifold of opportunities for new research and business models but come with a number of striking new challenges. In particular, the size and weight limitations of low-Earth orbit small satellites make their successful operation rest on a fine balance between solar power infeed and the power demands of the mission payload and supporting platform technologies, buffered by on-board battery storage. At the same time, these satellites are being rolled out as part of ever-larger constellations and mega-constellations. Altogether, this induces a number of challenging computational problems related to the recurring need to make decisions about which task each satellite is to effectuate next. Against this background, GomSpace and Saarland University have joined forces to develop highly sophisticated software-based automated solutions rooted in optimal algorithmic and self-improving learning techniques, all this validated in modern nanosatellite networked missions operating in orbit.
Comment: This is an author-generated technical report of a paper published in the Small Satellite Conference 2021
Databáze: OpenAIRE