22 citations · 95 across the 17 of their papers we have counts for
6 papers · 1 filter
Convex Optimization-based Model Predictive Control for Active Space Debris Removal Mission Guidance
Minduli Wijayatunga, Roberto Armellin, Harry Holt +2
A convex optimization-based model predictive control (MPC) algorithm for the guidance of active debris removal (ADR) missions is proposed in this work. A high-accuracy reference fo…
Convex Optimization-Based Model Predictive Control for the Guidance of Active Debris Removal Transfers
Minduli Wijayatunga, Roberto Armellin, Harry Holt +2
Active debris removal (ADR) missions have garnered significant interest as means of mitigating collision risks in space. This work proposes a convex optimization-based model predic…
Fuel-Optimal Collision Avoidance Maneuvers in Long-Term Encounters with Station-Keeping Constraints
Zeno Pavanello, Laura Pirovano, Roberto Armellin
This work presents a sequential convex program method to compute fuel-optimal collision avoidance maneuvers for long-term encounters. The low-thrust acceleration model is used to a…
Perturbed Initial Orbit Determination
Alberto Fossà, Matteo Losacco, Roberto Armellin
An algorithm for robust initial orbit determination (IOD) under perturbed orbital dynamics is presented. By leveraging map inversion techniques defined in the algebra of Taylor pol…
A low-order automatic domain splitting approach for nonlinear uncertainty mapping
Matteo Losacco, Alberto Fossà, Roberto Armellin
This paper introduces a novel method for the automatic detection and handling of nonlinearities in a generic transformation. A nonlinearity index that exploits second order Taylor…
A Multifidelity Approach to Robust Orbit Determination
Alberto Fossà, Roberto Armellin, Emmanuel Delande +2
This paper presents an algorithm for the preprocessing of observation data aimed at improving the robustness of orbit determination tools. Two objectives are fulfilled: obtain a re…