Intrinsic Successive Convexification: Trajectory Optimization on Smooth Manifolds

Fuente: arXiv
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Main Authors: Kraisler, Spencer, Mesbahi, Mehran, Acikmese, Behcet
Format: Preprint
Published: 2025
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author Kraisler, Spencer
Mesbahi, Mehran
Acikmese, Behcet
author_facet Kraisler, Spencer
Mesbahi, Mehran
Acikmese, Behcet
contents A fundamental issue at the core of trajectory optimization on smooth manifolds is handling the implicit manifold constraint within the dynamics. The conventional approach is to enforce the dynamic model as a constraint. However, we show this approach leads to significantly redundant operations, as well as being heavily dependent on the state space representation. Specifically, we propose an intrinsic successive convexification methodology for optimal control on smooth manifolds. This so-called iSCvx is then applied to a representative example involving attitude trajectory optimization for a spacecraft subject to non-convex constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2503_12711
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Intrinsic Successive Convexification: Trajectory Optimization on Smooth Manifolds
Kraisler, Spencer
Mesbahi, Mehran
Acikmese, Behcet
Optimization and Control
Systems and Control
A fundamental issue at the core of trajectory optimization on smooth manifolds is handling the implicit manifold constraint within the dynamics. The conventional approach is to enforce the dynamic model as a constraint. However, we show this approach leads to significantly redundant operations, as well as being heavily dependent on the state space representation. Specifically, we propose an intrinsic successive convexification methodology for optimal control on smooth manifolds. This so-called iSCvx is then applied to a representative example involving attitude trajectory optimization for a spacecraft subject to non-convex constraints.
title Intrinsic Successive Convexification: Trajectory Optimization on Smooth Manifolds
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2503.12711