Low Thrust Trajectory

Low-thrust trajectory optimization focuses on designing fuel-efficient paths for spacecraft, particularly crucial for long-duration missions like asteroid belt exploration or space debris removal. Current research emphasizes developing faster and more accurate methods for calculating these complex trajectories, employing machine learning techniques such as neural networks and generative adversarial networks (GANs) alongside traditional analytical approaches. These advancements improve mission design efficiency by reducing computation time and enabling the exploration of a wider range of mission possibilities, ultimately leading to more cost-effective and scientifically productive space missions.

Papers