59 citations · 68 across the 14 of their papers we have counts for
14 papers
Polynomial-Based Solutions to Targeting Problems for Onboard Applications
Adam Evans, Alberto Fossa, Roberto Armellin +2
This paper solves the targeting problem focusing on accuracy, computational efficiency, and reliability. The trajectory optimization problem is first recast as a polynomial optimiz…
Station-Keeping Approach for Extremely Low Lunar Orbits with Solar Sailing
Jack Yarndley, Gregory Lantoine, Roberto Armellin
Renewed interest in cislunar space has created opportunities for sustained operations in extremely low-lunar orbits (eLLOs), where altitudes below 50~km enable close surface proxim…
A polynomial-based Monte Carlo approach for estimating long-term collision probabilities
Andrea Zollo, Cristina Parigini, Roberto Armellin +3
This paper introduces a versatile approach for computing the risk of collision specifically tailored for scenarios featuring low relative encounter velocities, but with potential a…
Non-linear stochastic trajectory optimisation
Thomas Caleb, Roberto Armellin, Stéphanie Lizy-Destrez
Designing robust space trajectories in nonlinear dynamical environments, such as the Earth-Moon circular restricted three-body problem (CR3BP), poses significant challenges due to…
Optimization of Transfers linking Ballistic Captures to Earth-Moon Periodic Orbit Families
Lorenzo Anoè, Roberto Armellin, Jack Yarndley +2
The design of transfers to periodic orbits in the Earth-Moon system has regained prominence with NASA's Artemis and CNSA's Chang'e programs. This work addresses the problem of link…
Extensive Database of Spatial Ballistic Captures with Application to Lunar Trailblazer
Lorenzo Anoè, Roberto Armellin, Gregory Lantoine +1
For low-energy missions to the Moon and beyond, Ballistic Capture has proven to be a valuable technique for enabling orbital insertion while alleviating propulsion system requireme…
CAMmary: A Review of Spacecraft Collision Avoidance Manoeuvre Design Methods
Zeno Pavanello, Luigi De Maria, Andrea De Vittori +3
Ensuring safety for spacecraft operations has become a paramount concern due to the proliferation of space debris and the saturation of valuable orbital regimes. In this regard, th…
Using Co-Located Range and Doppler Radars for Initial Orbit Determination
Cristina Parigini, Laura Pirovano, Roberto Armellin +3
With debris larger than 1 cm in size estimated to be over one million, precise cataloging efforts are essential to ensure space operations' safety. Compounding this challenge is th…
Chance constraints transcription and failure risk estimation for stochastic trajectory optimisation
Thomas Caleb, Roberto Armellin, Stéphanie Lizy-Destrez
Stochastic trajectory optimisation under uncertainty requires robust constraint satisfaction through chance constraints. However, existing transcription methods remain limited to s…
Taylor polynomial-based constrained solver for fuel-optimal low-thrust trajectory optimisation
Thomas Caleb, Roberto Armellin, Spencer Boone +1
This paper presents differential algebra-based differential dynamic programming (DADDy), a publicly available C++ framework for constrained, fuel-optimal low-thrust trajectory opti…
Collision Avoidance Maneuvers Optimization in the Presence of Multiple Encounters
Zeno Pavanello, Laura Pirovano, Roberto Armellin +2
The optimization of fuel-optimal low-thrust collision avoidance maneuvers (CAMs) in scenarios involving multiple encounters between spacecraft is addressed. The optimization's obje…
Recursive Polynomial Method for Fast Collision Avoidance Maneuver Design
Zeno Pavanello, Laura Pirovano, Roberto Armellin
A simple and reliable algorithm for collision avoidance maneuvers (CAMs), capable of computing impulsive, multi-impulsive, and low-thrust maneuvers, is proposed. The probability of…
Efficient Multifidelity Uncertainty Propagation in the Presence of Process Noise
Alberto Fossà, Roberto Armellin, Emmanuel Delande +1
A multifidelity method for the nonlinear propagation of uncertainties in the presence of stochastic accelerations is presented. The proposed algorithm treats the uncertainty propag…
Collision Avoidance Maneuver Optimization with a Multiple-Impulse Convex Formulation
Roberto Armellin
A method to compute optimal collision avoidance maneuvers for short-term encounters is presented. The maneuvers are modeled as multiple-impulses to handle impulsive cases and to ap…