Automatic, Rapid Replanning of Satellite Operations for Space Situational Awareness (SSA)

Dick Stottler, Stottler Henke Associates, Inc.H, Kyle Mahan, Stottler Henke Associates, Inc.

Keywords: Artificial Intelligence (AI), Replanning, Deconfliction, Scheduling,Optimization, AFSCN

Abstract:

An important component of Space Situational Awareness (SSA) is knowledge of the status and tasking of blue forces (e.g. satellites and ground stations) and the rapid determination of the impacts of real or hypothetical changes and the ability to quickly replan based on those changes. For example, if an antenna goes down (either for benign reasons or from purposeful interference) determining which missions will be impacted is important. It is not simply the set of missions that were scheduled to utilize that antenna, because highly expert human schedulers will respond to the outage by intelligently replanning the real-time schedule. We have developed an automatic scheduling and deconfliction engine, called MIDAS (for Managed Intelligent Deconfliction And Scheduling) that interfaces to the current legacy system (ESD 2.7) which can perform this replanning function automatically. In addition to determining the impact of failed resources, MIDAS can also replan in response to a satellite under attack. In this situation, additional supports must be quickly scheduled and executed (while minimizing impacts to other missions). Because MIDAS is a fully automatic system, replacing a current human labor-intensive process, and provides very rapid turnaround (seconds) it can also be used by commanders to consider what-if questions and focus limited protection resources on the most critical resources. For example, the commander can determine the impact of a successful attack on one of two ground stations and place heavier emphasis on protecting the station whose loss would create the most severe impacts. The system is currently transitioning to operational use. The MIDAS system and its interface to the legacy ESD 2.7 system will be described along with the ConOps for different types of detailed operational scenarios.

Date of Conference: September 15-18, 2015

Track: Poster

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