An Approach to the Design of Collision Avoidance Strategies for Constellations that Combine Multiple Sources of Information

With the rapid proliferation of spacecraft in orbit worldwide, there has been a surge in international incidents arising from collision intersections, re-entry and return, and space debris mitigation. Consequently, space traffic management has become a paramount concern in national strategies, aiming to ensure the safety of space assets and foster the development of a robust spacefaring nation. In order to address the practical challenges of managing space traffic, the conventional method of designing collision avoidance strategies suffers from issues such as independent planning of collision avoidance and mission, low efficiency, and high resource consumption. This study aims to comprehensively assess the impact of multidimensional factors, including the constellation's building health status, manoeuvrability, mission constraints, configuration requirements, and fuel consumption, on the generation of collision avoidance strategies. By exploring the intrinsic coupling relationships between these factors, a task-oriented collision avoidance model will be established. This model will incorporate a quantitative description of multiple influencing factors and an intelligent strategy decision-making algorithm for ground controllers, enabling swift determination of the optimal avoidance strategy.