Trajectory Optimization
Explore trajectory design spaces with reproducible optimization and uncertainty tools.
AS-TO-10
Available calculations.
- optimize_thrust_profile
- trajectory_sensitivity_analysis
- genetic_algorithm_optimization
- particle_swarm_optimization
- porkchop_plot_analysis
- monte_carlo_uncertainty_analysis
Runner example.
The installed skill teaches your agent when to activate this module and how to call the local runner.
monte_carlo_uncertainty_analysisAS-TO-10
{
"ok": true,
"operation": "monte_carlo_uncertainty_analysis",
"result": {
"samples": 1000,
"seed": 42,
"statistics": {
"apogee_m": {
"mean": 9995.22219204,
"standard_deviation": 147.58234847,
"p05": 9752.75746034,
"p50": 9992.04931856,
"p95": 10239.54459045
},
"range_m": {
"mean": 2500.91312802,
"standard_deviation": 46.83250105,
"p05": 2427.1475894,
"p50": 2500.27241673,
"p95": 2572.94549007
}
}
},
"units": {},
"assumptions": [
"Independent input distributions and direct sampled outputs"
],
"warnings": [
"Correlations and nonlinear trajectory propagation require a problem-specific model"
],
"provenance": [
"Seeded pseudo-random Monte Carlo sampling"
]
}