Multi‑spacecraft Intelligent Orbit Phasing Control Considering Collision Avoidance

This paper proposes an intelligent low-thrust orbit phasing control method for multiple spacecraft by simultaneously considering fuel optimization and collision avoidance. Firstly，the minimum-fuel orbit phasing control database is generated by the indirect method associated with the homotopy technique. Then，a deep network representing the minimum-fuel solution is trained. To avoid collision for multiple spacecraft，an artificial potential function is introduced in the collision-avoidance controller. Finally，an intelligent orbit phasing control method by combining the minimum-fuel neural network controller and the collision-avoidance controller is proposed. Numerical results show that the proposed intelligent orbit phasing control is valid for the multi-satellite constellation initialization without collision.