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A method for flight test subject allocation on multiple test aircrafts based on improved genetic algorithm

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Abstract

The civil aircraft flight test technology is complex and related to many systems. The efficiency and rationality of the flight test task planning has become one of the key factors affecting the flight test duration and cost. In the initial planning process of the flight test task, the allocation of a large amount of flight test subjects on multiple test aircrafts is a key issue. There are many shortcomings in manual planning based on work experience. However, the information about the existence of related automated assist algorithms or tools has not been found in the public information. Through the research on the workflow of the current civil flight test and the communication with the relevant departments, the main influencing factors and constraints related to the allocation of flight test subjects were summarized in this paper. The allocation process was simplified, and the core mathematical problem extracted and modeled. A method based on improved genetic algorithm to generate the flight test subject allocation scheme was designed. The superiority of the algorithm was proven by comparing with the research results of related reference literature. The case simulation of several engineering practical application scenarios was carried out, which demonstrated the prospect of this method being put into practical engineering applications.

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Acknowledgements

This paper was sponsored by the Civil Aviation Pre-Research Projects and Shanghai Engineering Research Center of Civil Aircraft Flight Testing.

Funding

This research was funded by the National Program on Key Basic Research Project (2014CB744903), National Natural Science Foundation of China (61673270), Shanghai Industrial Strengthening Project (GYQJ-2017-5-08), Shanghai Science and Technology Committee Research Project (17DZ1204304).

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Authors and Affiliations

  1. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, 200240, China

    Yibo Liu, Miao Wang & Tao Li

  2. Shanghai Aircraft Design and Research Institute, 5188 Jinke Road Pudong District, Shanghai, 201210, China

    Gang Xiao

Authors
  1. Yibo Liu
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  2. Gang Xiao
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  3. Miao Wang
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  4. Tao Li
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Contributions

Conceptualization, YL; data curation, YL and MW; formal analysis, MW; funding acquisition, GX; investigation, MW; methodology, YL; resources, GX; supervision, GX and TL; validation, TL; writing—original draft, YL; writing—review and editing, GX and MW.

Corresponding author

Correspondence to Yibo Liu.

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The authors declare no conflict of interest.

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Cite this article

Liu, Y., Xiao, G., Wang, M. et al. A method for flight test subject allocation on multiple test aircrafts based on improved genetic algorithm. AS 2, 215–225 (2019). https://doi.org/10.1007/s42401-019-00035-9

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  • DOI: https://doi.org/10.1007/s42401-019-00035-9

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