NONLINEAR MONTE CARLO MISSION SIMULATION AND STATISTICAL ANALYSIS

Monte Carlo mission simulations combine a priori and predicted knowledge uncertainties, flight path control strategies, error models, trajectory sensitivities, and ground design schedules to evaluate and enhance mission system performance. Nonlinear modeling capabilities are required to support advanced mission types that include low-thrust, orbiter mapping, low-energy or third body trajectory variation, and Lissajous orbits. FARO is a prototype software system that provides nonlinear Monte Carlo mission simulation and continuous statistical analysis capabilities with a multi-mission architecture that supports both low- and high-thrust propulsion. The prototype system is being used to investigate sensitivities and operation planning for the Dawn and Grail missions.