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Aerodynamic parameter identification of hypersonic vehicle via Pigeon-inspired optimization

Qiang Xue (School of Automation Science and Electrical Engineering, Beihang University , Beijing, China)
Duan Haibin (School of Automation Science and Electrical Engineering, Beihang University , Beijing, China)

Haibin Duan is currently a Full Professor at the School of Automation Science and Electrical Engineering, Beihang University (formerly Beijing University of Aeronautics and Astronautics, BUAA), Beijing, China. He is the Head of Bio-inspired Autonomous Flight Systems Research Group of BUAA. He received the PhD degree from Nanjing University of Aeronautics and Astronautics in 2005. His current research interests include bio-inspired computation, advanced flight control and bio-inspired computer vision. Duan Haibin is the corresponding author and can be contacted at: hbduan@buaa.edu.cn

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 2 May 2017

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Abstract

Purpose

The purpose of this paper is to propose a new approach for aerodynamic parameter identification of hypersonic vehicles, which is based on Pigeon-inspired optimization (PIO) algorithm, with the objective of overcoming the disadvantages of traditional methods based on gradient such as New Raphson method, especially in noisy environment.

Design/methodology/approach

The model of hypersonic vehicles and PIO algorithm is established for aerodynamic parameter identification. Using the idea, identification problem will be converted into the optimization problem.

Findings

A new swarm optimization method, PIO algorithm is applied in this identification process. Experimental results demonstrated the robustness and effectiveness of the proposed method: it can guarantee accurate identification results in noisy environment without fussy calculation of sensitivity.

Practical implications

The new method developed in this paper can be easily applied to solve complex optimization problems when some traditional method is failed, and can afford the accurate hypersonic parameter for control rate design of hypersonic vehicles.

Originality/value

In this paper, the authors converted this identification problem into the optimization problem using the new swarm optimization method – PIO. This new approach is proved to be reasonable through simulation.

Keywords

Acknowledgements

This work was partially supported by National Natural Science Foundation of China under grant #61425008, #61333004 and #61273054, and Aeronautical Foundation of China under grant #2015ZA51013.

Citation

Xue, Q. and Haibin, D. (2017), "Aerodynamic parameter identification of hypersonic vehicle via Pigeon-inspired optimization", Aircraft Engineering and Aerospace Technology, Vol. 89 No. 3, pp. 425-433. https://doi.org/10.1108/AEAT-01-2015-0007

Publisher

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Emerald Publishing Limited

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