Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms

Ahmed Al-Garni; Ayman H. Kassem

doi:10.2514/6.2005-3293

Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms

Ahmed Al-Garni^*
, Ayman H. Kassem

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Aerospace-plane ascent-trajectory optimization is a difficult problem due to the complexity of optimization cost surfaces and the need for human expertise during all steps of the optimization process in order to achieve good results. In this paper, a heuristic technique based on a genetic algorithm is used. The technique is applied to calculate minimum-fuel-minimum-heat ascent control settings for an energy state model of an aerospace plane.

Original language	English
Title of host publication	A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference
Publisher	American Institute of Aeronautics and Astronautics Inc.
Pages	849-853
Number of pages	5
ISBN (Print)	1563477297, 9781563477294
DOIs	https://doi.org/10.2514/6.2005-3293
State	Published - 2005

Publication series

Name	A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference
Volume	2

ASJC Scopus subject areas

General Engineering

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10.2514/6.2005-3293

Cite this

Al-Garni, A., & Kassem, A. H. (2005). Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms. In A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference (pp. 849-853). (A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference; Vol. 2). American Institute of Aeronautics and Astronautics Inc.. https://doi.org/10.2514/6.2005-3293

Al-Garni, Ahmed ; Kassem, Ayman H. / Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms. A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference. American Institute of Aeronautics and Astronautics Inc., 2005. pp. 849-853 (A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference).

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title = "Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms",

abstract = "Aerospace-plane ascent-trajectory optimization is a difficult problem due to the complexity of optimization cost surfaces and the need for human expertise during all steps of the optimization process in order to achieve good results. In this paper, a heuristic technique based on a genetic algorithm is used. The technique is applied to calculate minimum-fuel-minimum-heat ascent control settings for an energy state model of an aerospace plane.",

author = "Ahmed Al-Garni and Kassem, \{Ayman H.\}",

year = "2005",

doi = "10.2514/6.2005-3293",

language = "English",

isbn = "1563477297",

series = "A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference",

publisher = "American Institute of Aeronautics and Astronautics Inc.",

pages = "849--853",

booktitle = "A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference",

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Al-Garni, A & Kassem, AH 2005, Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms. in A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference. A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference, vol. 2, American Institute of Aeronautics and Astronautics Inc., pp. 849-853. https://doi.org/10.2514/6.2005-3293

Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms. / Al-Garni, Ahmed; Kassem, Ayman H.
A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference. American Institute of Aeronautics and Astronautics Inc., 2005. p. 849-853 (A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Aerospace-plane ascent-trajectory optimization is a difficult problem due to the complexity of optimization cost surfaces and the need for human expertise during all steps of the optimization process in order to achieve good results. In this paper, a heuristic technique based on a genetic algorithm is used. The technique is applied to calculate minimum-fuel-minimum-heat ascent control settings for an energy state model of an aerospace plane.

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Al-Garni A, Kassem AH. Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms. In A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference. American Institute of Aeronautics and Astronautics Inc. 2005. p. 849-853. (A Collection of Technical Papers - 13th AIAA/CIRA International Space Planes and Hypersonic Systems and Technologies Conference). doi: 10.2514/6.2005-3293

Optimizing aerospace plane ascent trajectory with thermal constraints using genetic algorithms

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