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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 …
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 …
Trajectory distribution control for model predictive path integral control using covariance steering
This paper presents a novel control approach for autonomous systems operating under
uncertainty. We combine Model Predictive Path Integral (MPPI) control with Covariance …
uncertainty. We combine Model Predictive Path Integral (MPPI) control with Covariance …
Generalized Pseudospectral-Convex Programming for Powered Descent and Landing
ONE of the pivotal concepts for a more affordable access to space is reusability. This
paradigm shift is led by SpaceX [1], with its successful Falcon 9 program. At the same time …
paradigm shift is led by SpaceX [1], with its successful Falcon 9 program. At the same time …
Performance assessment of convex low-thrust trajectory optimization methods
Different discretization and trust-region methods are compared for the low-thrust fuel-optimal
trajectory optimization problem using successive convex programming. In particular, the …
trajectory optimization problem using successive convex programming. In particular, the …
State-dependent trust region for successive convex programming for autonomous spacecraft
Spacecraft trajectory optimization is essential for all the different phases of a space mission,
from its launch to end-of-life disposal. Due to the increase in the number of satellites and …
from its launch to end-of-life disposal. Due to the increase in the number of satellites and …
Collision avoidance maneuver optimization with a multiple-impulse convex formulation
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 …
presented. The maneuvers are modeled as multiple-impulses to handle impulsive cases …
A real-time algorithm for non-convex powered descent guidance
The on-board solution of constrained optimal control problems is a key technology for future
entry, descent and landing systems. The constraints that must be satisfied to enable …
entry, descent and landing systems. The constraints that must be satisfied to enable …
Direct optimization of low-thrust orbit-raising maneuvers using adjoint sensitivities
This paper considers the problem of optimizing minimum-time and minimum-propellant
many-revolution low-thrust geocentric orbit-raising maneuvers to an arbitrary target. The …
many-revolution low-thrust geocentric orbit-raising maneuvers to an arbitrary target. The …
State-dependent trust region for successive convex optimization of spacecraft trajectories
Successive convex programming is a promising technique for onboard applications thanks
to its speed and guaranteed convergence. Hence it can be an enabler for future missions …
to its speed and guaranteed convergence. Hence it can be an enabler for future missions …