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Research on a modeling method of wing deformation under the influence of separation and compound multi-source disturbance

Published online by Cambridge University Press:  06 August 2021

Zhuangsheng Zhu Open the ORCID record for Zhuangsheng Zhu [Opens in a new window] ,
Yaxin Gao ,
Hao Tan ,
Yue Jia  and
Qifei Xu
Zhuangsheng Zhu*
Affiliation:
Research Institute for Frontier Science, Beihang University, Beijing 100191, China. Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument & Navigation System Technology, Beijing, China
Yaxin Gao
Affiliation:
Research Institute for Frontier Science, Beihang University, Beijing 100191, China. Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument & Navigation System Technology, Beijing, China
Hao Tan
Affiliation:
Research Institute for Frontier Science, Beihang University, Beijing 100191, China. Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument & Navigation System Technology, Beijing, China
Yue Jia
Affiliation:
Research Institute for Frontier Science, Beihang University, Beijing 100191, China. Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument & Navigation System Technology, Beijing, China
Qifei Xu
Affiliation:
Research Institute for Frontier Science, Beihang University, Beijing 100191, China. Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument & Navigation System Technology, Beijing, China
*
*Corresponding author. E-mail: [email protected]
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Abstract

An aircraft wing is the carrier of imaging payload (interferometric synthetic aperture radar (SAR) or array SAR) of a high-resolution aerial remote sensing system, and high-precision estimation of wing deformation is the key. There are two main traditional modelling methods for wing deformation, namely stochastic theory modelling and material mechanics modelling only dealing with single disturbance, of which the model parameters are derived from empirical values. Aiming at the complex multi-source disturbance of an aircraft wing, this paper separately probes the influence of external disturbance (air disturbance) and internal disturbance (engine vibration) based on the real-time observation of sensors and classifies the wing deformation on the basis of auto-regressive (AR) modelling for parameter identification. With the authentic flight data of a certain types of aircraft, the experimental analysis shows that the wing deformation under the influence of engine vibration is the 14th-order AR model, and the wing deformation under the influence of turbulence is the fifth-order AR model. Meanwhile, this paper also provides an experimental verification idea for the wing deflection modelling built on the second- or third-order Markov model.

Keywords

interferometric synthetic aperture radar (INSAR)distributed position and orientation system (DPOS)AR modelMarkov modelwing deformation
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 4 , July 2022 , pp. 784 - 804
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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