Swarm Dynamics Simulator

Monte Carlo simulation for Dyson swarm station-keeping, collision probability, and propulsion authority analysis. Investigates the trade-offs between solar radiation pressure (SRP) control and active propulsion systems.

Swarm Parameters

0.3 AU 0.65 AU 1.0 AU
100 m² 5,000 m² 10,000 m²
50 kg 1,000 kg 2,000 kg
100 5,000 10,000
100 m 5,000 m 10,000 m
1 yr 5 yr 10 yr

Comparison Mode

Compares 7 spacing configurations (100m to 10,000m) while keeping other parameters constant. Identifies optimal spacing for collision probability vs control authority.

Configuration Summary

Area-to-Mass Ratio 20.0 m²/kg
Orbital Velocity 42.1 km/s
Solar Flux 5444 W/m²

Collision Probability vs Spacing

Run a comparison simulation to see collision probability chart

Simulation Results

Configure the swarm parameters and run the simulation to see results.

Research Questions Addressed

RQ-1-2

Station-keeping propellant budget for maintaining orbital position

RQ-1-6

Collision probability between swarm elements at various spacings

RQ-1-37

Propulsion authority requirements for swarm control

Simulation Methodology

This Monte Carlo simulation models the station-keeping dynamics of a Dyson swarm segment, accounting for solar radiation pressure, orbital perturbations, and collision risk.

  • Solar radiation pressure provides propellant-free thrust for attitude and position control
  • Orbital perturbations include solar gravity gradient, third-body effects, and differential SRP
  • Collision probability uses gas kinetics model with close approach event simulation
  • Control authority compares available SRP delta-V to required station-keeping budget

Key trade-off: Closer spacing increases collision risk but reduces swarm volume; wider spacing improves safety but may exceed SRP control authority for maintaining formation.

D
Project Dyson

A non-profit organization dedicated to realizing a Dyson swarm through detailed planning, research aggregation, and multi-LLM collaboration.

Resources

Community

© 2026 Project Dyson. Open source under MIT license.

Built with Svelte, powered by AI collaboration