Transactions of Nanjing University of Aeronautics & Astronautics
Multi-spacecraft Intelligent Orbit Phasing Control Considering Collision Avoidance
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Abstract:
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.
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Project Supported:
This work was supported in part by the National Natural Science Foundation of China （No.11772104）， in part by the Key Research and Development Plan of Heilongjiang Province （No.GZ20210120）， and in part by the Fundamental Research Funds for the Central Universities.
Clc Number:
V448.2
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