SKY Perfect JSAT and EQUES jointly conducted a study on using AI in station-keeping operations for geostationary satellites. They identified the direction and challenges of operational support in which AI presents information based on historical data and humans make the final decisions.
SKY Perfect JSAT and EQUES, a startup originating from the University of Tokyo’s Matsuo Lab, announced that they had jointly conducted a proof of concept (PoC) to examine the potential use of AI in geostationary satellite operations. The companies are considering how AI-generated information and human judgment can be combined to support station-keeping operations.
Station-keeping involves using propulsion systems to keep a satellite within a prescribed range, with the maneuver requiring careful decisions based on predictions of changes in the satellite’s orbit after the operation. The companies are testing a support model in which AI presents necessary information based on historical data and expertise, while a human makes the final decision.
The companies said they would continue examining the potential use of AI. As they identified the establishment of a stable and efficient operating framework for multiple satellites as a challenge, they also identified issues to be addressed before applying the technology in operational settings.