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On-Board Near Optimal Flight Trajectory Generation using Deferential Flatness

by R. Esmaelzadeh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 3
Year of Publication: 2014
Authors: R. Esmaelzadeh
10.5120/15481-4219

R. Esmaelzadeh . On-Board Near Optimal Flight Trajectory Generation using Deferential Flatness. International Journal of Computer Applications. 89, 3 ( March 2014), 12-18. DOI=10.5120/15481-4219

@article{ 10.5120/15481-4219,
author = { R. Esmaelzadeh },
title = { On-Board Near Optimal Flight Trajectory Generation using Deferential Flatness },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 3 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number3/15481-4219/ },
doi = { 10.5120/15481-4219 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:17.395911+05:30
%A R. Esmaelzadeh
%T On-Board Near Optimal Flight Trajectory Generation using Deferential Flatness
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 3
%P 12-18
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An optimal explicit guidance law that maximizes terminal velocity is developed for a reentry vehicle to a fixed target. The equations of motion are reduced with differential flatness approach and acceleration commands are related to trajectory's parameters. An optimal trajectory is determined by solving a real-coded genetic algorithm. For online trajectory generation, optimal trajectory is approximated. The approximated trajectory is compared with the pure proportional navigation, and genetic algorithm's solutions. The near optimal terminal velocity solution compares very well with these solutions. The approach robustness is examined by Monte Carlo simulation. Other advantages such as trajectory representation with minimum parameters, applicability to any reentry vehicle configuration and any control scheme, and Time-to-Go independency make this guidance approach more favorable.

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Index Terms

Computer Science
Information Sciences

Keywords

Reentry Explicit Guidance Differential Flatness Optimal Guidance Real Genetic Algorithm.

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