DVD-COOP for Maneuver Path Optimization of Conjunctive Resident Space Objects for Space Traffic Management

Jehyun Cha, Hanyang University; Drew McNeely, University of Texas at Austin; Joonghyun Ryu, Hanyang University; Misoon Mah, Air Force Office of Scientific Research (AFOSR); Moriba Jah, The University of Texas at Austin; Deok-Soo Kim, Hanyang University
https://doi.org/10.64861/ZKZC1057

Keywords:

Abstract:

Collision avoidance is one of the critical tasks to keep geospace safe and efficient. The detection and resolution of conjunction is a prerequisite for collision avoidance. In AMOS 2017, we reported a study of the DVD-COOP algorithm/program, based on the dynamic Voronoi diagram 3D spheres, which showed a proven mathematical capability together with implementation to detect all conjunctions without any missing case. In this paper, we report a new capability of the DVD-COOP algorithm which, given a detected conjunction, produces the optimal maneuver plan by quickly evaluating alternatives using the event history stored in the COOP-HSTRY file. The DVD-COOP algorithm, with a strong scalability, seems to play a key role for Space Situational Awareness and Space Traffic Management.

Date of Conference: September 11-14, 2018
Track: Poster

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