Convex optimization for trajectory generation: A tutorial on generating dynamically feasible trajectories reliably and efficiently
Reliable and efficient trajectory generation methods are a fundamental need for
autonomous dynamical systems. The goal of this article is to provide a comprehensive …
autonomous dynamical systems. The goal of this article is to provide a comprehensive …
Advances in trajectory optimization for space vehicle control
Abstract Space mission design places a premium on cost and operational efficiency. The
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …
Convex optimization for trajectory generation
Reliable and efficient trajectory generation methods are a fundamental need for
autonomous dynamical systems of tomorrow. The goal of this article is to provide a …
autonomous dynamical systems of tomorrow. The goal of this article is to provide a …
Convex approach to three-dimensional launch vehicle ascent trajectory optimization
B Benedikter, A Zavoli, G Colasurdo… - Journal of Guidance …, 2021 - arc.aiaa.org
This paper deals with the optimization of the ascent trajectory of a multistage launch vehicle,
from liftoff to the payload injection into the target orbit, considering inverse-square gravity …
from liftoff to the payload injection into the target orbit, considering inverse-square gravity …
Customized real-time first-order methods for onboard dual quaternion-based 6-DoF powered-descent guidance
View Video Presentation: https://doi. org/10.2514/6.2023-2003. vid The dual quaternion-
based 6-DoF powered-descent guidance algorithm (DQG) was selected as the candidate …
based 6-DoF powered-descent guidance algorithm (DQG) was selected as the candidate …
Six-degree-of-freedom rocket landing optimization via augmented convex–concave decomposition
In this paper an augmented convex–concave decomposition (ACCD) method for treating
nonlinear equality constraints in an otherwise convex problem is proposed. This …
nonlinear equality constraints in an otherwise convex problem is proposed. This …
Autonomous six-degree-of-freedom spacecraft docking with rotating targets via reinforcement learning
A policy for six-degree-of-freedom docking maneuvers with rotating targets is developed
through reinforcement learning and implemented as a feedback control law. Potential clients …
through reinforcement learning and implemented as a feedback control law. Potential clients …
A survey on convex optimization for guidance and control of vehicular systems
Z Wang - Annual Reviews in Control, 2024 - Elsevier
Guidance and control (G&C) technologies play a central role in the development and
operation of vehicular systems. The emergence of computational guidance and control …
operation of vehicular systems. The emergence of computational guidance and control …
Real-time optimal control of a 6-DOF state-constrained close-proximity rendezvous mission
A Selim, İ Özkol - Acta Astronautica, 2023 - Elsevier
A rendezvous mission with a tumbling space object has been studied by developing a novel
three-phase mission design architecture which includes model and state uncertainties by …
three-phase mission design architecture which includes model and state uncertainties by …
Convex optimization of launch vehicle ascent trajectory with heat-flux and splash-down constraints
B Benedikter, A Zavoli, G Colasurdo… - Journal of Spacecraft …, 2022 - arc.aiaa.org
This paper presents a convex programming approach to the optimization of a multistage
launch vehicle ascent trajectory, from the liftoff to the payload injection into the target orbit …
launch vehicle ascent trajectory, from the liftoff to the payload injection into the target orbit …