Utah State University

Greg Droge

Tyson Smith

John Akagi

Skylar Cox

Justin Whitaker

John Humble

For determining a communication window is disclosed, a method generates a communication graph that includes backbone nodes, dummy nodes, data collection nodes, downlink nodes, crosslink send nodes, and crosslink receive nodes. The backbone nodes, the data collection nodes, the downlink nodes, the crosslink-transmit nodes, and the crosslink-receive nodes are connected by one of a homogenous edge between nodes of a same type and transition edges between nodes of a different type. The method determines access windows for downlink communications and crosslink communications using the communication graph. The method selects access windows based on a task graph generated from the communication graph. The method communicates from a given satellite within the selected access windows.

Determining communication windows

For generating a points-of-interest plan, a method generates communication graph nodes for at least one satellite. The method calculates communication graph edges from the communication graph nodes, wherein the communication graph nodes and the communication graph edges comprise a communication graph. The method solves the communication graph to yield a communication plan. The method generates a points-of-interest plan from the communication plan.

Satellite constellation scheduling

For model predictive control for a spacecraft formation, a method calculates a virtual point that represents a plurality of spacecraft orbiting in a spacecraft formation. The method calculates an outer polytope boundary and an inner polytope boundary relative to the virtual point for a given spacecraft of the plurality of spacecraft. The method maneuvers the given spacecraft to within the inner polytope boundary using model predictive control (MPC) to minimize fuel consumption.

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Nibley, UT, United States of America

Greg Droge