The goal of the proposed phase i work is to demonstrate the feasibility of the coordination and control of a low cardinality (n=12) swarm of smallsats that realizes a distributed synthetic aperture…

The National Aeronautics and Space Administration (NASA) awarded a Small Business Innovation Research (SBIR) Program Phase I contract to Vissidus Technologies Inc., a woman-owned small business, to demonstrate the feasibility of coordinating and controlling a low-cardinality (12 satellites) swarm of small satellites that can realize a distributed synthetic aperture radar (SAR) system in low Earth orbit. The $116,460.00 Firm Fixed Price contract aims to develop algorithms for swarm aggregation, stability, and recovery from a single satellite failure, with formal proofs of control system properties. The work is intended to meet most of the technical objectives identified in the solicitation for the corresponding modes of swarm operations.

The goal of the proposed phase i work is to demonstrate the feasibility of the coordination and control of a low cardinality (n=12) swarm of smallsats that realizes a distributed synthetic aperture radar (SAR) in low earth orbit. Preliminary mission and spacecraft design work has shown that the swarm can support SAR imaging in the l-band (1.35 GHZ) with a ground range resolution finer than 10 m with a revisit period of eight days. The spacecraft in the swarm are pre-programmed to rendezvous in a region, say a sphere or box of certain dimensions, centered at a specified set of (absolute) orbital elements. After deployment from the launcher each satellite maneuvers to bring itself into the rendezvous sphere while monitoring its surroundings with on-board means, such as the star tracker capable of taking still images while attempting to close inter-spacecraft radio communications (isrc) links with its neighbors. Both (passive) optical or isrc-based relative navigation are then used to determine the relative position and velocity vectors between spacecraft while they maneuver to aggregate the swarm in its nominal operations configuration. During swarm aggregation and nominal operations, algorithms developed in the framework of evolving systems ensure the stability of the swarm. Failure of one swarm member will also be simulated to analyze the swarm reconfiguration and recovery of nominal operations after reconfiguration. Formal proofs of feedback control system properties such as controllability-observability, stability, detectabililty, and robustness will be pursued to establish a solid theoretical foundation for the proposed algorithms. The phase i feasibility demonstration will meet most of the technical objectives identified in the solicitation for the corresponding modes of swarm operations.