We introduce a framework that automates the process of assessing potential satellite conjunctions in space, and generating collision avoidance maneuvers to support mitigation efforts within a novel space traffic management (STM) architecture. A software implementation of the framework was developed in a MATLAB-STK integrated environment, however, the concept and framework is agnostic to the language or environment. The software pulls from existing catalogs of spaceborne objects and ingests user-defined parameters to produce conjunction data, which could potentially aid collision avoidance planning in the STM architecture. The utility of the software in maneuver planning and exploring a performance-based tradespace of actions is demonstrated using three example cases: one-to-one conjunction, one-versus-four conjunctions, and a near head-on collision. The framework also provides a test-bed for the use of application programming interfaces (APIs) to demonstrate machine-to-machine communication between entities in our proposed STM architecture. Results from this software implementation are expected to aid distributed decision-making among various stakeholders, and inform efficient, autonomous, structured but flexible concept of operations within STM.


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    Title :

    An Initial Analysis of Automating Conjunction Assessment and Collision Avoidance Planning in Space Traffic Management


    Contributors:

    Conference:

    AAS/AIAA Space Flight Mechanics Meeting ; 2019 ; Ka''anapali, HI, United States


    Publication date :

    2019-01-13


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English