The research activity aimed at the development of relative navigation and combined control algorithms for controlling an autonomous spacecraft equipped with a redundant manipulator used to capture a target spacecraft. Numerical testing of the GNC solution proposed was performed through an accurate and realistic simulation tool. The GNC system shows good performance for all the considered scenarios, although SC3 is the most challenging due to the high rotation rate of the target. The error budget analysis has highlighted the major sources of errors.

The goals to improve mechanical and magnetic material properties for soft magnetic Ni50Fe50 specimens processed by LPBF was achieved. Tensile strength is with ~500 MPa higher than the targeted 365 MPa and close to values of conventionally processed material. Whereas, magnetic properties measured are still lower than those specified in the datasheet of PERMENORM 5000V5 material by VAC. Since the density achieved is already close to 100% it can be concluded that not only density has a strong influence on the magnetic properties.

• • Ship Detection: Reduce the processing time; ;

The problems derived from RF interference (RFI) created by men hand, whether generated intentionally or not, remain as one of the main concerns of the space industry.

TAS-B has high heritage on PPU for HET ranging from 1,35 kW up to 4,5 kW. In the frame another project, TAS-B  develops New Space PPU modules to drive thrusters in the same power range, for platforms with 100 V regulated power bus. In the frame of the project “BBK for Low Power PPU”, TAS-B addresses the low range of the New Space market: smaller thrusters for smaller platforms with lower unregulated bus.

Optical high-resolution payloads require very high structural and thermal stability to work at their top performance. Performing a thermal analysis and being able to perform De-Risk activities is surely critical for what concerns optical payloads which is a highly competitive market.

The goal of the project was to develop a service as a product to simplify fitting DNN (Deep Learning Neural Networks) in on board HW to make better use of AI on space missions The role of the service is to support data processing engineers in reducing HW resources requirement of powerful DNN for image analysis to be executed onboard. 

•On-board disturbance sources such as solar array drive mecha