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Hypersonic flight vehicle trajectory optimization using pattern search algorithm

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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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Acknowledgements

The authors thank competent authorities of Defence Research and Development Laboratory (DRDL), Hyderabad, India for granting permission to publish this piece of work.

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Authors and Affiliations

  1. Defence Research and Development Laboratory, Kanchanbagh P.O., Hyderabad, 500 058, India

    G. Naresh Kumar, Mohammad Ikram & A. K. Sarkar

  2. Department of Aerospace Engineering, Defence Institute of Advanced Technology, Girinagar, Pune, 411 025, India

    S. E. Talole

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  1. G. Naresh Kumar
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  2. Mohammad Ikram
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  3. A. K. Sarkar
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  4. S. E. Talole
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Correspondence to S. E. Talole.

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Naresh Kumar, G., Ikram, M., Sarkar, A.K. et al. Hypersonic flight vehicle trajectory optimization using pattern search algorithm. Optim Eng 19, 125–161 (2018). https://doi.org/10.1007/s11081-017-9367-0

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  • DOI: https://doi.org/10.1007/s11081-017-9367-0

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