Survey of direct transcription for low-thrust space trajectory optimization with applications
type: Item
instance of: scholarly article
title: Survey of direct transcription for low-thrust space trajectory optimization with applications
zbMATH Open document ID: 1474.49081
DOI: 10.1155/2014/851720
author: Xianqiang Yang
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: Space trajectory design is usually addressed as an optimal control problem. Although it relies on the classic theory of optimal control, this branch possesses some peculiarities that led to the development of ad hoc techniques, which can be grouped into two categories: direct and indirect methods. This paper gives an overview of the principal techniques belonging to the direct methods. The technique known as ``direct transcription and collocation'' is illustrated by considering Hermite-Simpson, high-order Gauss-Lobatto, and pseudospectral methods. Practical examples are given, and several hints to improve efficiency and robustness are implemented.
Mathematics Subject Classification ID: 49N35
Mathematics Subject Classification ID: 49N90
Mathematics Subject Classification ID: 65K10
zbMATH DE Number: 7023197
Wikidata QID: Q59042040
describes a project that uses: Optimization Toolbox
describes a project that uses: SNOPT
describes a project that uses: Ipopt
describes a project that uses: GPOPS
describes a project that uses: Matlab
describes a project that uses: SOCS
describes a project that uses: OTIS
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/851720
OpenAlex ID: W2008645856
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description: scientific article; zbMATH DE number 7023197