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Aerodynamic characteristic analysis and layout optimization design for compound UAVs by using hybrid Fuzzy–PSO algorithm

  • Yan-li ChenEmail author
  • Jing-chun Qin
  • Yi-zhuo Shang
  • Shi-kun Xu
  • Ji-cai Li
  • Nan Zhao
  • Xiao-dong Wu
  • Xian-li Yu
Technical Paper
  • 19 Downloads

Abstract

In order to further improve the performance of compound UAVs at high and low speed with heavy loading, a type of compound coaxial UAV with fixed wings and tail ducted-rotor thrusters was proposed to meet technology requirement. The lift and thrust aerodynamic characteristics were analyzed to get some relative characteristic and the aerodynamic coupling relationships between the fixed wings and tail propulsion system. And an optimization method based on hybrid Fuzzy–PSO (HFPSO) algorithm was proposed to obtain the optimal configuration plan that can reach the best aerodynamic performance without considering the coaxial architecture. The optimal configuration plan was finally obtained by applying the HFPSO method which also proves the method is effective and reasonable through comparison.

Keywords

Compound UAVs Aerodynamic characteristics Configuration design Global optimization Hybrid Fuzzy–PSO algorithm 

Notes

Acknowledgements

This project is supported by the National key Research and development program of China (Grant No: 2017YFC0602002), Scientific and Technological Development Program of Jilin Province of China (Grant No: 20170101206JC), Foundation of Education Bureau of Jilin Province (GrantNo: JJKH20170789KJ), China Postdoctoral Science Foundation (Grant No: 2014M560232), National High-Tech R&D Program of China (863 Program) (Grant No: SS2013AA060403), National Natural Science Foundation of China (Grant No: 51505174) and Jilin Province Key Science and Technology R&D Project (Grant No: 20180201040GX).

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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  • Yan-li Chen
    • 1
    Email author
  • Jing-chun Qin
    • 1
  • Yi-zhuo Shang
    • 1
  • Shi-kun Xu
    • 1
  • Ji-cai Li
    • 1
  • Nan Zhao
    • 1
  • Xiao-dong Wu
    • 1
  • Xian-li Yu
    • 2
  1. 1.School of Mechanical and Aerospace EngineeringJilin UniversityChangchunChina
  2. 2.College of Geo-exploration Science and TechnologyJilin UniversityChangchunChina

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