14th ESA Workshop on Avionics, Data, Control and Software Systems ~ ADCSS2020

Session

Machine Learning in Space Control Systems

21 Oct 2020, 14:00

Virtual Workshop

35. Machine Learning for Controls: A Perspective from Space Controls Systems

Samir Bennani (TEC-ECN)

21/10/2020, 14:00

Recent advances in machine learning and availability of massive computational power have attracted a lot of researchers to apply learning techniques to resolve control problems applied to space systems.

Although the results shown in literature so far appear to be promising, we question ourselves on how to develop a machine learning framework to handle the specificity of space systems. To be...

36. Deep Reinforcement Learning for Controls – Application to the Path Following Problem

Mr Johannes Ultsch (DLR)

21/10/2020, 14:25

Recently reinforcement learning (RL) methods have been used to solve a wide range of complex control problems. One reason for the increased interest in applying RL methods to control problems is due to their ability to generate control laws solely through interaction with the plant. The control law can be trained directly out of interaction with the real-world system or by using a simulation...

37. Control algorithms are enriched with AI (and vice versa)

Mr Christophe Prieur (Gipsa-Lab / CNRS), Mr Dimitri Peaucelle (LAAS-CNRS)

21/10/2020, 14:50

In this talk, we will show how machine learning and automatic control are mutually enriched.
To do so, we will review some of the classical questions in automatic control and we show how the usual control techniques can be improved using scientific computation and AI.
Big-data data alone is not sufficient, but it can help. Some examples in fluid dynamics and in navigation will be given....

38. AI4GNC – Airbus Defence & Space perspectives

Mr Carlos Hervás García (Airbus Defence & Space Ltd)

21/10/2020, 15:30

Through a long history of rigorous techniques and processes, the field of spacecraft Guidance Navigation and Control (GNC) has evolved over the years to safely and robustly meet the GNC challenging needs of rather complex mission (e.g. high pointing accuracy, agile manoeuvring). In particular, the field of Robust Control has achieved this in complex, uncertain and partially observable dynamic...

39. Machine Learning perspectives for AOCS/GNC applications in Thales Alenia Space

Mr Pierre Dandré (Thales Alenia Space)

21/10/2020, 15:55

Based on the search and first results obtained on machine / deep learning on several domains such as automotive, UAV or internet, implementing IA algorithms in GNC product has recently emerged.

Presentation will present THALES ALENIA SPACE perspectives on the:
• Major current issues GNC engineers are facing and that IA algorithms may or not tackle.
• Possible support of the machine / deep...

40. Autonomous launchers with next generation GNC

Ms Martine Ganet (Ariane Group)

21/10/2020, 16:20

Next generation launcher shall follow and anticipate market evolution with wider spectrum of mission which means more versatility for GNC. GNC shall also enable mastering vertical or horizontal landing for stages reusability. Furthermore, use of SMART upper stages and liquid reusable engines open new perspectives for launcher mission extension, this means modulation use, adaptation, failure...

41. Round Table

21/10/2020, 16:45