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IOS Mission and Maturation Phase Proposal – In-Orbit Refuelling Assessment

During this Phase 0 maturation study, ASUK, with the support of Thales Alenia Space (TAS), Nammo, MDA and GMV, performed a programmatic, business and technical assessment of a future low-Earth orbit (LEO) refuelling mission. The mission concept proposes developing and demonstrating core technologies in a preliminary service offering to enable a commercial in-orbit refuelling service. Such a service will swiftly redefine how satellites are designed and operated, launching a dynamic and sustainable in-orbit ecosystem with significant potential.

United Kingdom

21-P-M-OPS-04

Astroscale
IOS Mission Proposal and Maturation Phase

In the frame of an In Orbit Servicing Maturation Phase (IOSMP) contract, this maturation study has been realised on the START-€ solution which is proposed to extend the lifetime of geostationary orbit (GEO) communication satellites. The START-€ servicer spacecraft will first demonstrate on a GEO communication satellite its ability to perform the critical operations related to its mission, before proceeding with several commercial life extension missions by capturing and taking the AOCS control of aged client spacecraft.

France

21-P-M-OPS-04

Telespazio
IOS Mission Proposal and Maturation Phase

The results of the IOSPR maturation phase study done by D-Orbit (UK) are presented.

United Kingdom

21-P-M-OPS-04

D-orbit
ENCORE – In-Orbit Servicing of an Operational Spacecraft

The market for life‐extension services for geostationary orbit (GEO) satellites is expected to remain healthy for the foreseeable future: over the last 20 years, an average of 22 new GEO satellites were launched per year. In total, ClearSpace expects there will be 370 potential client satellites that will reach their end of life due to the limited fuel they have remaining over the 2026–2041 period. ClearSpace believes a strong market penetration rate is feasible, as more than 30% of all the potential satellites belong to just seven satellite operators.

United Kingdom

21-P-M-OPS-04

ClearSpace
Real-time optimal control of quadrocopters using deep representations of the optimal state feedback

A major challenge in the field of control is to achieve reliable, aggressive, high-speed control of autonomous vehicles. In space, this may involve spacecraft that need to land under harsh conditions, or even – in an extreme scenario – negotiating asteroid debris fields at high speeds. On Earth, the exemplar task that draws most attention currently is high-speed autonomous flight of drones. The application of optimal control on board limited platforms has been severely hindered by the large computational requirements of current state-of-the-art implementations.

The Netherlands

18-8510

TU DELFT

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