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Optimization and Engineering

Erschienen in:

21.09.2017

Hypersonic flight vehicle trajectory optimization using pattern search algorithm

verfasst von: G. Naresh Kumar, Mohammad Ikram, A. K. Sarkar, S. E. Talole

Erschienen in: Optimization and Engineering | Ausgabe 1/2018

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Abstract

In this work, trajectory optimization of an aerodynamically controlled hypersonic boost glide class of flight vehicle is presented. In order to meet the mission constraints such as controllability, skin temperature, and terminal conditions etc., the trajectory is optimized using a pattern search algorithm with the lift to drag (L/D) ratio as a control parameter. It is brought out that the approach offers a viable tool for optimizing trajectories for the considered class of vehicles. Further, the effects of the constraints on trajectory shape and performance are studied and the analysis is used to bring out an optimal vehicle configuration at the initial stage of the design process itself. The research also reveals that the pattern search algorithm offers superior performance in comparison with the genetic algorithm for this class of optimization problem.

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Titel: Hypersonic flight vehicle trajectory optimization using pattern search algorithm
verfasst von: G. Naresh Kumar
Mohammad Ikram
A. K. Sarkar
S. E. Talole
Publikationsdatum: 21.09.2017
Verlag: Springer US
Erschienen in: Optimization and Engineering / Ausgabe 1/2018
Print ISSN: 1389-4420
Elektronische ISSN: 1573-2924
DOI: https://doi.org/10.1007/s11081-017-9367-0

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