7 papers
Analytical Confidence Boundaries for Non-Gaussian Uncertainty in Perturbed Spacecraft Dynamics
Niccolò Michelotti, Ethan R. Burnett, Francesco Topputo
This work investigates nonlinear uncertainty propagation in perturbed astrodynamics, focusing on the rapid characterization of non-Gaussian distributions and the construction of th…
An Efficient Non-Gaussian Chance Constraint Method for Stochastic Nonlinear Problems in Spaceflight
Ethan R. Burnett, Spencer Boone, Niccolo Michelotti
Standard chance-constrained spacecraft guidance typically relies on the assumption that uncertainties in vehicle states obey Gaussian statistics. In frontier applications such as t…
Efficient Nonlinear Uncertainty Quantification for Spaceflight Leveraging Nonlinear Expansions
Ethan R. Burnett, Spencer Boone
This paper provides a comparative study of modern uncertainty quantification (UQ) methods. To greatly enhance real-time performance, both differential algebra (DA) and a directiona…
Analytic Non-Gaussian Confidence Boundary Method for Chance-Constrained Trajectory Control
Ethan Burnett, Spencer Boone
Standard chance constrained control algorithms typically rely on the assumption that uncertainties in vehicle states obey Gaussian statistics. Highly nonlinear systems tend to disr…
Convex Trajectory Optimization via Monomial Coordinates Transcription for Cislunar Rendezvous
Omar Regantini, Ethan R. Burnett, Antonio Rizza +2
This paper proposes a nonlinear guidance algorithm for fuel-optimal impulsive trajectories for rendezvous operations close to a reference orbit. The approach involves overparameter…
Exploring tidal dissipation in rubble pile binary secondaries using a discrete element model
Ethan R. Burnett, Iosto Fodde, Fabio Ferrari
In this work, models of rubble pile binary secondaries are simulated in different spin states in a system similar in size and scale to Didymos-Dimorphos. The numerical modeling is…