Communication-Aware Orbit Design for Small Spacecraft Swarms Around Small Bodies

Abstract

Exploration of small Solar System bodies has traditionally been performed by monolithic spacecraft carrying several science instruments. However, instruments often cannot be operated simultaneously due to requirements including viewing angle, illumination, power, and data constraints. This has motivated interest in architectures in which a swarm of small spacecraft, each carrying one instrument, studies a small body after being deployed by a carrier spacecraft; such architectures hold promise to yield significant improvements in mission efficiency, increased data quality, and reduced mission duration. A key difficulty is the selection of orbits for the spacecraft, which must satisfy not only instrument requirements but also communication and data storage constraints. To address this, we propose a novel gradient-based optimization algorithm that simultaneously optimizes spacecraft orbits, observations, and communications; the approach captures instrument requirements, communication bandwidth, and memory usage, and it accommodates irregular gravity field models and surface geometries. Numerical simulations of a six-spacecraft swarm studying the 433 Eros asteroid show that the approach results in a 67.9% increase in data returned as compared to a communication-agnostic approach. Collectively, these results enable system designers to quickly assess the end-to-end performance of multispacecraft constellations, and represent a first step toward communication-aware design of multispacecraft missions for small Solar System body exploration.