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A study of morphing aircraft on morphing rules along trajectory

A study of morphing aircraft on morphing rules along trajectory
A study of morphing aircraft on morphing rules along trajectory
Morphing aircraft can meet requirements of multi-mission during the whole flight due to changing the aerodynamic shape, so it is necessary to study its morphing rules along the trajectory. However, trajectory planning considering morphing variables requires a huge number of expensive CFD computations due to the morphing in view of aerodynamic performance. Under the given missions and trajectory, to alleviate computational cost and improve trajectory-planning efficiency for morphing aircraft, an offline optimization method is proposed based on Multi-Fidelity Kriging (MFK) modeling. The angle of attack, Mach number, sweep angle and axial position of the morphing wing are defined as variables for generating training data for building the MFK models, in which many inviscid aerodynamic solutions are used as low-fidelity data, while the less high-fidelity data are obtained by solving viscous flow. Then the built MFK models of the lift, drag and pressure centre at the different angles of attack and Mach numbers are used to
predict the aerodynamic performance of the morphing aircraft, which keeps the optimal sweep angle and axial position of the wing during trajectory planning. Hence, the morphing rules can be correspondingly acquired along the trajectory, as well as keep the aircraft with the best aerodynamic performance during the whole task. The trajectory planning of a morphing aircraft was performed with the optimal aerodynamic performance based on the MFK models, built by only using 240 low-fidelity data and 110 high-fidelity data. The results indicate that a complex trajectory can take advantage of morphing rules in keeping good aerodynamic performance, and the proposed method is more efficient than trajectory optimization by reducing 86% of the computing time.
Aerodynamic, Morphing wing, Multi-fidelity Kriging model, Offline optimization, Trajectory planning
1000-9361
Chen, X
12758557-9723-4d44-9eae-8e7c599f2e18
Li, C
0c6c8101-59e2-4b70-a192-aef3395db956
Gong, C
035b37cb-fdf4-4633-961c-09f246472884
Gu, L
40baa002-f724-4680-b462-784adc1e14be
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Chen, X
12758557-9723-4d44-9eae-8e7c599f2e18
Li, C
0c6c8101-59e2-4b70-a192-aef3395db956
Gong, C
035b37cb-fdf4-4633-961c-09f246472884
Gu, L
40baa002-f724-4680-b462-784adc1e14be
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a

Chen, X, Li, C, Gong, C, Gu, L and Da Ronch, Andrea (2020) A study of morphing aircraft on morphing rules along trajectory. Chinese Journal of Aeronautics. (doi:10.1016/j.cja.2020.04.032).

Record type: Article

Abstract

Morphing aircraft can meet requirements of multi-mission during the whole flight due to changing the aerodynamic shape, so it is necessary to study its morphing rules along the trajectory. However, trajectory planning considering morphing variables requires a huge number of expensive CFD computations due to the morphing in view of aerodynamic performance. Under the given missions and trajectory, to alleviate computational cost and improve trajectory-planning efficiency for morphing aircraft, an offline optimization method is proposed based on Multi-Fidelity Kriging (MFK) modeling. The angle of attack, Mach number, sweep angle and axial position of the morphing wing are defined as variables for generating training data for building the MFK models, in which many inviscid aerodynamic solutions are used as low-fidelity data, while the less high-fidelity data are obtained by solving viscous flow. Then the built MFK models of the lift, drag and pressure centre at the different angles of attack and Mach numbers are used to
predict the aerodynamic performance of the morphing aircraft, which keeps the optimal sweep angle and axial position of the wing during trajectory planning. Hence, the morphing rules can be correspondingly acquired along the trajectory, as well as keep the aircraft with the best aerodynamic performance during the whole task. The trajectory planning of a morphing aircraft was performed with the optimal aerodynamic performance based on the MFK models, built by only using 240 low-fidelity data and 110 high-fidelity data. The results indicate that a complex trajectory can take advantage of morphing rules in keeping good aerodynamic performance, and the proposed method is more efficient than trajectory optimization by reducing 86% of the computing time.

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A study of morphing aircraft - Accepted Manuscript
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Accepted/In Press date: 21 April 2020
e-pub ahead of print date: 24 June 2020
Additional Information: Funding Information: This study was co-supported by the National Defense Fundamental Research Funds of China (No. JCKY2016204B102 and JCKY2016208C001 ). Publisher Copyright: © 2020 Chinese Society of Aeronautics and Astronautics
Keywords: Aerodynamic, Morphing wing, Multi-fidelity Kriging model, Offline optimization, Trajectory planning

Identifiers

Local EPrints ID: 442214
URI: http://eprints.soton.ac.uk/id/eprint/442214
ISSN: 1000-9361
PURE UUID: 4fc14e91-554f-417d-8dee-cfde9e15adf3
ORCID for Andrea Da Ronch: ORCID iD orcid.org/0000-0001-7428-6935

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Date deposited: 09 Jul 2020 16:30
Last modified: 22 Nov 2022 02:42

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Contributors

Author: X Chen
Author: C Li
Author: C Gong
Author: L Gu
Author: Andrea Da Ronch ORCID iD

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