Development of a Hardware Demonstration Platform for Multispacecraft Reconnaissance of Small Bodies

Abstract

The next frontier in space exploration involves visiting some of the 2 million small bodies scattered throughout the solar system. However, these missions are expected to be challenging due to the surface irregularities of these bodies and the very low gravity, which makes steps like getting into orbit very complex. For these reasons, reconnaissance is crucial for small-body exploration before taking on ambitious orbital, surface, and sample-return missions. Our previous work developed IDEAS, an automated design software for small-body reconnaissance mission development using spacecraft swarms. A critical challenge to furthering such designs is the lack of hardware demonstration platforms for interplanetary spacecraft operations. In this article, we present multiagent photogrammetry of small bodies (MAPS), a hardware platform to demonstrate critical reconnaissance operations of multispacecraft missions identified by the IDEAS framework. MAPS uses unmanned air vehicles (UAVs) as the autonomous agents that perform reconnaissance operations. The UAVs use their visual feed to generate a 3-D surface map of a small-body mockup, which is encountered along their flight path. In this article, we examine the various design elements of a small-body surface reconstruction mission inside the MAPS testbed. These elements are used for designing reference trajectories of the participating UAVs, which is enforced using a tracking feedback control law. We then formulate the small-body mapping problem as a mixed-integer nonlinear programming problem, which is handled by the Automated Swarm Designer module of the IDEAS framework. The solutions are implemented inside the MAPS, and shape models generated from the UAV feeds are compared.