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Artificial Intelligence techniques for GNC design, implementation and verification
The performance of currently available Guidance Navigation and Control (GNC) systems for space is limited by unmodelled effects or uncertain parameters (e.g. sensor/actuator performances and performance degradations). Artificial Intelligence (AI) techniques based on machine learning could be integrated in GNC systems in order to enable on-line learning of the properties of dynamics, environment, sensors and actuators that limit the available performances.
United Kingdom

T705-605SA

CITY, UNIVERSITY of...
Tumbling Motion Assessment for Space Debris Objects
When Europe still had no access to clarify the attitude of lost spacecrafts in order to optimize recovery attempts and improve re-entry predictions, the precursor GSTP study on ?Attitude Motion Measurements and Modelling? activity paved the way for an independent European capacity in this field. In fact, for the first time in Europe, it was possible to join measurements of SLR, passive telescope and synthetic aperture radar to fit a dynamic attitude model of the given spacecraft.
Switzerland

GT17-152GR

University of Bern
Virtual workplace for AIT PA training and operations support
Currently space missions are assembled, tested and verified following manual procedures: for the most part their production, assembly, integration and verification activities are lagging behind the latest ?Industry 4.0? smart factory approaches. Assembly, integration and verification from equipment up to platform and satellite level is a huge set of tasks and the nature of the involved engineering disciplines are very diverse. Activities are performed in parallel at several locations executed by different teams of experts and using a variety of tools.
Finland

T708-605MX

VTT TECHNICAL RESEARCH...
On-Board System Identification for Uncertainty Modelling and Characterization.

Future spacecraft missions require high accuracy (in relative and absolute kinematics as well as attitude parameters).

Greece

T705-402EC

National Technical...
A Distributed Ledger Approach to MBSE

Main achievement: Development of the first blockchain ecosystem for space system engineering, as a global configuration tool that can model the business logic of concurrent design. Addressing the MBSE challenges of  controlling data exchange and traceability across system development and operations lifecycle.

Results: Two use cases have been successfully implemented

UK

20-D-S-TEC-04-b

UNIVERSITY OF STRATHCLYDE
System Engineering Models meet Knowledge Graphs

Tables and graphs are knowingly used to organise data within a company with different levels of depth and complexity. Knowledge graphs (KGs) are particularly useful because they can cope with data diversity (high-quality complete data and sparse and incomplete data), they have a high degree of scalability and flexibility (the semantic data model can be inter-operational, large, wide and as deep as needed) and, last but not least, they provide reasoning and inference capabilities.

UK

20-D-S-TEC-04-a

UNIVERSITY OF STRATHCLYDE
Mission performance assessment for space science missions

The objective of this activity was to propose a general infrastructure of an end-to-end simulator (E2ES) for space science missions, namely an E2ES requirements baseline, reference architecture and an associated library of software models (building blocks, BB) to promote reuse, standardisation and reduction of engineering costs by defining a products/science validation process throughout the lifecycle based on an E2ES.

Italy

16/S10

University of Trieste

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