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Enhancing the take-off performance of hypersonic vehicles using the improved chimp optimisation algorithm

Published online by Cambridge University Press:  18 July 2022

X. Zhang Open the ORCID record for X. Zhang [Opens in a new window] ,
J. Yan ,
S. Liu Open the ORCID record for S. Liu [Opens in a new window]  and
B. Yan Open the ORCID record for B. Yan [Opens in a new window]
X. Zhang
Affiliation:
Unmanned System Research Institute, Northwestern Polytechnical University, Xian 710072, China
J. Yan
Affiliation:
Unmanned System Research Institute, Northwestern Polytechnical University, Xian 710072, China
S. Liu
Affiliation:
Unmanned System Research Institute, Northwestern Polytechnical University, Xian 710072, China
B. Yan*
Affiliation:
School of Astronautics, Northwestern Polytechnical University, Xian 710072, China
*
*Corresponding author. Email: yanbinbin@nwpu.edu.cn
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Abstract

The performance of hypersonic vehicles in the take-off stage considerably influences their capability of accomplishing the flight tasks. This study is aimed at enhancing the take-off performance of a cruise aircraft using the improved chimp optimisation algorithm. The proposed algorithm, which uses the Sobol sequence for initial population generation and a function of the weight factors, can effectively overcome the problems of premature convergence and low accuracy of the original algorithm. In particular, the Sobol sequence aims to obtain a better fitness value in the first iteration, and the weight factor aims to accelerate the convergence speed and avoid the local optimal solution. The take-off mass model of the hypersonic vehicle is constructed considering the flight data obtained using the pseudo-spectral method in the climb phase. Simulations are performed to evaluate the algorithm performance, and the results show that the algorithm can rapidly and stably optimise the benchmark function. Compared to the original algorithm, the proposed algorithm requires 28.89% less optimisation time and yields an optimised take-off mass that is 1.72kg smaller.

Keywords

hypersonic vehicletake-off performanceChimp Optimisation Algorithmoptimal design
Type
Research Article
Information
The Aeronautical Journal , Volume 127 , Issue 1311 , May 2023 , pp. 737 - 753
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Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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