The KAIST research team has developed an AI-based technique to accurately predict the performance of Hall thrusters, high-efficiency electric propulsion devices used in space missions. The AI-designed Hall thruster will be installed on the KAIST-Hall Effect Rocket Orbiter CubeSat to demonstrate its performance in orbit during the fourth launch of the Korean Launch Vehicle Nuri rocket scheduled for November. Hall thrusters are crucial for missions like SpaceX’s Starlink constellation and NASA’s Psyche asteroid mission, as they provide high fuel efficiency and significant acceleration for spacecraft. The development of an AI-based prediction technique will reduce time and cost associated with thruster design, fabrication, and testing. The research team used a neural network ensemble model and an in-house numerical simulation tool to predict thruster performance with less than 10% error. Professor Wonho Choe’s team has been leading research on electric propulsion development in Korea since 2003. As the space industry grows during the NewSpace era, the demand for Hall thrusters for diverse missions is increasing. The use of AI technology in predicting thruster performance accurately will play a crucial role in the rapid development of highly efficient thrusters. Plasma technology, which powers Hall thrusters, is also used in semiconductor manufacturing, display processes, and sterilization devices.
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