ESA Operational Collision Avoidance UNOOSA – Promoting Space Sustainability 25th February 2021 Francesca Letizia ESA Space Debris Office ESA UNCLASSIFIED - Releasable to the Public 1 Collision avoidance service: why Statistics Local perspective on space Collisions with objects debris at larger than 1 cm have the potential of prematurely ending a mission Global perspective Collisions can significantly contribute to the Cosmos-Iridium collision evolution of the debris 3294 new objects environment Accidental break-ups caused by collisions covered by standards (ISO 24113) and guidelines (UN LTS B.4) 2 Collision avoidance service: the missions Sentinel 2A/B Institutional Cryosat-2 missions Sentinel 3A/B Third-party Cheops missions Proba 2 Sentinel 1A/B SAOCOM-1A/B Additional support to non-LEO missions Swarm B (Cluster, XMM, Integral) Swarm A, C and during LEOPs (MSG, Galileo, MetopC, Aelous Sentinel 6) 3 Our process at a glance DISCOS Space object weather Read more about our properties models process at SSA data CDMs Automated providers retrieval Trajectories & Propagation MiniCat CRASS CORAM manoeuvre data Flight Interface dynamics monitoring SCARF Trajectories & covariance data visualisation Flight control Debris team analysts 4 Data sharing – Operational products DISCOS Space B1.1 object weather properties models SSA data CDMs Automated providers retrieval Provide contact information (e.g. through space-track.org) B1.2 Regularly update own satellites’ information (orbit & manoeuvre plan) Adopt standard formats when exchanging information: Trajectories & Propagation• CDMs issuedMiniCat by SSA data providersCRASS CORAM manoeuvre data • OEMs for orbit information B2.3 • OPMs for manoeuvre data Flight Interface dynamics monitoring SCARF Trajectories & covariance data visualisation 5 Data sharing – information on objects DISCOS Space B1.5 object weather properties models SSA data CDMs Automated providers retrieval Data curation for objects in space Assess provided worldwide • normal users: web-based interface Trajectories & Propagation MiniCat CRASS CORAM manoeuvre data• operational users: API available Backbone for several analysis activities such as compliance monitoring Flight Interface dynamics monitoring SCARF Trajectories & covariance data visualisation 6 Conjunction assessment DISCOS Space object weather properties models SSA data CDMs Automated Pool of chaser Check for Collision risk providers retrieval orbits and conjunctions computation covariance not in CDMs Trajectories & Propagation MiniCat CRASS CORAM B4 manoeuvre data + (if needed) design of the Flight Interface avoidance dynamics monitoring manoeuvre SCARF Trajectories & covariance data visualisation 7 Conjunction assessment DISCOS Space object weather properties models SSA data CDMs Automated Pool of chaser Check for Collision risk providers retrieval orbits and conjunctions computation covariance not in CDMs Trajectories & Propagation MiniCat CRASS CORAM B4 manoeuvre data C2 + (if needed) design of the We makeFlight available tools Interface(DRAMA) avoidance anddynamics methodologies to analysemonitoring the collision risk and reduction manoeuvre SCARF strategies duringTrajectories the design & of a missioncovariance data visualisation 8 Alerts & manoeuvres Escalated events = alert to missions collision probability near pre-defined threshold & conjunction closer than 3 days Manoeuvre collision probability above pre-defined threshold & conjunction closer than ~ 1 day For a Sentinel-like mission: • 1 alert/month • 1 manoeuvre/3 months For each manoeuvre • Negligible fuel consumption • ~8 hours of data outage 9 Alerts & manoeuvres Escalated events = alert to missions C4 collision probability near pre-defined threshold & conjunction closer than 3 days Manoeuvre collision probability above pre-defined threshold & conjunction closer than ~ 1 day For a Sentinel-like mission: • 1 alert/month • 1 manoeuvre/3 months For each manoeuvre • Negligible fuel consumption • ~8 hours of data outage 10 Conjunction statistics Data for events with collision probability > 10-6 11 Conjunction statistics Data for events with collision probability > 10-6 Payload-related debris Satellites Rocket-related debris 12 Emerging trends: towards more automated systems Current approach Research directions & future approaches Assessment of historical conjunctions and model training Approaches for automated (and explainable) decisions Advanced manoeuvre design Coordination of operators and Flight control Debris catalogue providers team analysts 13 Emerging trends: towards more automated systems Current approach Research directions & future approaches Assessment of historical conjunctions and model training Approaches for automated Open competition in 2019(and explainable)for researchers decisions to test machine learning approaches D1 Distribution of anonymised operational CDMs to support research inAdvanced conjunction manoeuvre evaluation design Coordination of operators and Flight control Debris catalogue providers team analysts 14 Emerging trends: small satellites & trackability 15 Conclusions UN LTS Collision avoidance an operational reality for actors in space: B1 convergence of self-interest and long-term sustainability of operations as captured in the UN LTS Guidelines B2 ESA process based on standardised products, curated object data, automated workflow + contribution in tools and B4 knowledge dissemination The changes in the use of space call for C2 • Increased data quality and sharing • Improved coordination methods C4 • Increased automation Developments in collisions avoidance activities are an important D1 pillar in ESA Space Safety Programme 16 Produced by Follow @esaoperations for the latest graphics and podcasts on collision avoidance activity & sustainable operations realised in collaboration with UNOOSA 17 Dr. Francesca Letizia ESA/ESOC Space Debris Office (OPS-SD) Robert-Bosch-Str. 5, 64293 Darmstadt, Germany T +496151902079 [email protected] http://www.esa.int/debris 18.