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Research on the design of smart morphing long-endurance UAVs

Part of: International Symposium on Smart Aircraft 2019 Collection Smart Aircraft

Published online by Cambridge University Press:  25 September 2020

T. Ma ,
Y. Liu ,
D. Yang ,
Z. Zhang ,
X. Wang  and
S. Hao
T. Ma*
Affiliation:
Beijing Advanced Subject Center of Advanced Unmanned Aerial Vehicles, Key Laboratory of Advanced Technology of Intelligent Unmanned Flight System, Ministry of Industry and Information Technology, Institute of Unmanned System, Beihang University, Beijing, China
Y. Liu
Affiliation:
School of Aeronautic Science and Engineering, Beihang University, Beijing, China
D. Yang*
Affiliation:
SATM, Cranfield University, Cranfield, UK
Z. Zhang
Affiliation:
School of Aeronautic Science and Engineering, Beihang University, Beijing, China
X. Wang
Affiliation:
School of Aeronautic Science and Engineering, Beihang University, Beijing, China
S. Hao
Affiliation:
School of Aeronautic Science and Engineering, Hiwing General Aviation Equipment Co. LTD, Beihang University, Beijing, China
*
matielin@buaa.edu.cn
tornado831001@hotmall.com
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Abstract

To improve the endurance performance of long-endurance Unmanned Aerial Vehicles (UAVs), a smart morphing method to adjust the UAV and flight mode continuously during flight is proposed. Using this method as a starting point, a smart morphing long-endurance UAV design is conducted and the resulting improvement in the endurance performance studied. Firstly, the initial overall design of the smart morphing long-endurance UAV is carried out, then the morphing form is designed and various control parameters are selected. Secondly, based on multi-agent theory, an architecture for the smart morphing control system is built and the workflow of the smart morphing control system is planned. The morphing decision method is designed in detail based on the particle swarm optimisation algorithm. Finally, a simulation of the smart morphing approach in the climb and cruise stages is carried out to quantitatively verify the improvement in the endurance performance. The simulation results show that the smart morphing method can improve the cruise time by 4.1% with the same fuel consumption.

Keywords

Smart morphingLong-endurance UAVEnduranceFuel consumption
Type
Research Article
Information
The Aeronautical Journal , Volume 125 , Issue 1283 , January 2021 , pp. 22 - 41
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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