4 papers
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…
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…
Exploiting Scaling Constants to Facilitate the Convergence of Indirect Trajectory Optimization Methods
Minduli C. Wijayatunga, Roberto Armellin, Laura Pirovano
This note develops easily applicable techniques that improve the convergence and reduce the computational time of indirect low thrust trajectory optimization when solving fuel- and…