Fast Design of Fuel-Optimal Maneuver Trajectories for Satellite Constellations via a Hybrid Binary Classification and Physics-Regularized Neural Network
To address the requirement for the fast design of fuel-optimal maneuver trajectories in on-orbit servicing of satellite constellations, traditional numerical methods for solving the Lambert problem suffer from high computational complexity and numerous iterations, making them inefficient for scenarios involving multipl...