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Data compression as a service

Telemetry data is the most valuable asset provided by any spacecraft. Increasing the data amount sent from space to ground increases a mission’s value, but often this comes with increased costs. Compression of Space generated data provides great benefits to both the large ESA missions by increasing the mission science throughput and small missions (which typically have low bandwidth) by increasing the traditional low downlink rates of these missions. One solution to this problem is the POCKET+ lossless compression algorithm, which is currently being standardized by CCSDS.

Germany

21-D-S-OPS-02-d

VisionSpace Technologies
A Comparative Study Of High-Level And Low-Level Implementations Of Deep Learning Models For Spacecraft

Mission Control deployed a low-level implementation of the OPS-SAT SmartCam model using a Field Programmable Gate Array (FPGA), comparing against a high-level CPU model using Tensorflow Lite. Experiments showed that the FPGA implementation reproduced the precision and accuracy of the high-level model, while running at a slower speed. Further optimizations of the FPGA are expected to close the gap in timing and unlock new methods for deploying deep learning on spacecraft.

Canada

21-D-S-OPS-02-e

Mission Control Space...
AN AI-BASED SYSTEM FOR AN ACTIVE TRACKING OF EARTH FEATURES FROM OPS-SAT

A proof of concept of an attitude control system based on Artificial Intelligence, as an alternative of current state-of-the-art systems based on model approaches, has been developed and tested in a simulator and in the EM of the OPS-SAT. The system relies on Computer Vision and Deep Reinforcement Learning algorithms to command the OPS-SAT reaction wheels in order to actively modify its attitude, so that the on-board optical camera keeps framed and focused on a target without the aid of any other instrument, such as the star tracker, the ADCS or the GPS receiver.

Spain

21-D-S-OPS-02-i

Adatica Engineering
MoBaTe – Enabling Model-Based Testing and Automated Test Case Generation for Ground Segment Data Systems

The driver behind the MoBaTe activity was to propose ways to improve the current software development and validation lifecycle using MBSE techniques to shift some of the system validation activities to the early stages of development. The roadmap to achieve this included identifying strategies, required model properties, modelling tools and languages needed to move from a requirements-based approach to a model-based approach. All this considering existing and established workflows and tools currently used by the Agency.

Germany

21-D-T-OPS-01

Etamax Space GmbH
On-Board Anomaly Detection From The Ops-Sat Telemetry Using Deep Learning

Detecting anomalies from the satellite telemetry is critical for its safe operation. Although many approaches to autonomous on-board anomaly detection have already been proposed, most of them have so far only been tested on non-satellite or simulated data. We tackled this research gap and proposed an end-to-end machine learning-powered approach for detecting abnormal events in real-life OPS-SAT telemetry data, and deployed it on board a satellite.

Poland

21-D-S-OPS-02-f

KP Labs
Modular micropump fluidic systems: For system requiring ultrareliability, high performance and a compact design

Due to the ongoing miniaturization and increased performance of electronics devices alternative cooling methods are required, specifically mechanical pumping loops (MPL). Passive two-phase loop is not capable of cooling the ESA expected power densities up to 300 W/m2, pumped two-phase loops are forecasted to replace their passive counterparts. According to Lapensée et. al., “the most important component of a MPL is the pump and a pump failure directly results in MPL system failure, a reliable pump is therefore of vital importance". Wits et. al.

Ireland

ETD 2020-07-c

University of Limerick
Integration of the COMPASS and TASTE toolsets (COMPASTA)

COMPASS is a tool for model-based system/SW co-engineering developed in a series of ESA studies (2008-2016). It is based on a dialect of AADL and it offers a complete set of functionalities for formal verification, including requirements specification and analysis, contract-based design and verification, functional verification, fault specification, fault injection and RAMS analyses, including Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), Diagnosability Analysis, Fault Detection, Isolation and Recovery Analysis (FDIR).

Italy

20-D-T-TEC-04-i

Fondazione Bruno Kessler
R2D2 (Reliable Robust Dust Deflecting) Plug and Socket

To develop large scale infrastructure on the Moon many different systems will have to be shipped to the Moon to produce the necessary components. This means that the traditional design of systems cannot be assumed and a production machine cannot be expected to provide its own power especially when power demand is in the 100kW-1MW range . A large scale lunar or martian base will most likely require an operating micro grid network, in order to effectively progress large scale developments.

Luxembourg

20-D-T-TEC-03-e

MAANA Electric
AI AT THE EDGE : DEEP CUBE SERVICE IOD/IOV

OPS-SAT mission is a key element for operational validation in flight (or IOD/IOV) of the DeepCube service of Deep Learning at the edge that our company is preparing with the support of the GSTP programme (GSTP Make, ESA-CNES) and the R&D performed in the CORTEX project (Permanent Open Call EOEP-4, ESA/Phi-Lab, https://esacortexproject.agenium-space.com). The goal of the proposed experiment is to execute on-board the inference of the simplified models defined in those projects.

France

21-D-S-OPS-02-i

Agenium Space
HOPAS (Hybrid online policy adaptations strategy) on OPS-SAT

While AI technologies have shown promise in various applications in the space industry, their adoption on spacecraft flight software has yet to happen in a significant manner. This is due to a number of factors, including the relatively low computing power available on board of traditional spacecrafts, the long development process required in the industry and the lack of opportunities for in-orbit demonstrations. Airbus teams have identified in ESA OPS-SAT a unique opportunity to quickly test promising algorithms in-orbit as it seeks to resolve the issues listed above.

United Kingdom

21-D-S-OPS-02-a

Airbus Defence &...

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