UK project provides additional accuracy for space debris removal

Fujitsu UK and its partners combine quantum-inspired computing with AI to support targeted removal of space debris through improved mission planning.

Image: ESA

Created in collaboration with Amazon Web Services (AWS), Astroscale UK, and the University of Glasgow, Fujitsu’s prototype improves mission planning and allows one spacecraft to choose the space debris to remove in a single mission. .. Currently possible.

By deciding which debris to collect and when Fujitsuof Quantum-inspired digital annealer It is claimed to optimize the mission plan to determine the minimum fuel and time required to safely return an inoperable spacecraft or satellite to abandoned orbit. Finding the best route to collect space debris is expected to save time and money during the mission planning phase and improve the commercial feasibility of removing space debris.

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In a statement, Ellen Devereux, Digital Annealer Consultant Fujitsu UK & Ireland said: “With the support of the UK Space Agency, we worked with Astroscale UK, AWS, and the University of Glasgow to design a solution that optimizes service craft mission plans before they are sent to space. That is, an organization like Astroscale, UK. Can pick up more debris faster than ever before. “

When 2,350 non-operating satellites Currently in orbit, more than 28,000 debris are being tracked by the Space Surveillance Network. FujitsuTechnology has the potential to increase the UK’s market share in the space sector.

“Monitoring dangerous space objects is essential to protecting the services we all depend on, from communications devices to satellite navigation,” said Jacob Geer, head of space surveillance and tracking at the British Space Agency. “This project is one of the first examples of quantum-inspired computing that works with artificial intelligence to solve the problems caused by space debris, but it’s unlikely to be the last. Promises to ensure the sustainability of the universe, FujitsuWorked with Astroscale UK, the University of Glasgow, and AWS to demonstrate the real importance of keeping space clean and accessible to future generations. “

This research was carried out as part of a UK Space Agency grant, “Advances in Research on Space Surveillance and Tracking.” The project was developed over a six-month period and utilizes an artificial neural network (ANN) -based high-speed trajectory design algorithm developed by the University of Glasgow. FujitsuWith Digital Annealer Quantum-inspired optimization service To solve some of the major optimization problems associated with ADR (Active Debris Removal) mission planning design.

AWS provided cloud and AI and ML tools and services to support the project. Using the Amazon Sagemaker toolset, we have developed an ANN that predicts a fraction of the time it takes to fully calculate the cost of orbit. Astroscale UK is the world’s first commercial company to launch a demonstration mission to remove debris from low earth orbit and offers final use cases as a leading user of multi-target mission optimization. UK project provides additional accuracy for space debris removal

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