Convex optimization for trajectory generation: A tutorial on generating dynamically feasible trajectories reliably and efficiently

D Malyuta, TP Reynolds, M Szmuk… - IEEE Control …, 2022 - ieeexplore.ieee.org
Reliable and efficient trajectory generation methods are a fundamental need for
autonomous dynamical systems. The goal of this article is to provide a comprehensive …

Advances in trajectory optimization for space vehicle control

D Malyuta, Y Yu, P Elango, B Açıkmeşe - Annual Reviews in Control, 2021 - Elsevier
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 …

Convex optimization for trajectory generation

D Malyuta, TP Reynolds, M Szmuk, T Lew… - arxiv preprint arxiv …, 2021 - arxiv.org
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 …

Fast path planning through large collections of safe boxes

T Marcucci, P Nobel, R Tedrake… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We present a fast algorithm for the design of smooth paths (or trajectories) that are
constrained to lie in a collection of axis-aligned boxes. We consider the case where the …

Robust low-thrust trajectory optimization using convex programming and a homotopic approach

AC Morelli, C Hofmann… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A robust algorithm to solve the low-thrust fuel-optimal trajectory optimization problem for
interplanetary spacecraft is developed in this article. The original nonlinear optimal control …

Successive convexification for trajectory optimization with continuous-time constraint satisfaction

P Elango, D Luo, AG Kamath, S Uzun, T Kim… - arxiv preprint arxiv …, 2024 - arxiv.org
We present successive convexification, a real-time-capable solution method for nonconvex
trajectory optimization, with continuous-time constraint satisfaction and guaranteed …

Performance assessment of convex low-thrust trajectory optimization methods

C Hofmann, AC Morelli, F Topputo - Journal of Spacecraft and Rockets, 2023 - arc.aiaa.org
Different discretization and trust-region methods are compared for the low-thrust fuel-optimal
trajectory optimization problem using successive convex programming. In particular, the …

Onboard guidance for reusable rockets: Aerodynamic descent and powered landing

M Sagliano, A Heidecker, J Macés Hernández… - AIAA Scitech 2021 …, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-0862. vid This paper describes a
novel general on-board guidance strategy which can be applied to both the aerodynamically …

Six-degree-of-freedom rocket landing optimization via augmented convex–concave decomposition

M Sagliano, D Seelbinder, S Theil, P Lu - Journal of Guidance, Control …, 2024 - arc.aiaa.org
In this paper an augmented convex–concave decomposition (ACCD) method for treating
nonlinear equality constraints in an otherwise convex problem is proposed. This …

Constrained stein variational trajectory optimization

T Power, D Berenson - IEEE Transactions on Robotics, 2024 - ieeexplore.ieee.org
In this article, we present constrained Stein variational trajectory optimization (CSVTO), an
algorithm for performing trajectory optimization with constraints on a set of trajectories in …