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Enhancement of light aircraft 6 DOF simulation using flight test data in longitudinal motion

Published online by Cambridge University Press:  29 April 2021

L.V.T. Nguyen Open the ORCID record for L.V.T. Nguyen [Opens in a new window] ,
M. Tyan Open the ORCID record for M. Tyan [Opens in a new window] ,
J.-W. Lee Open the ORCID record for J.-W. Lee [Opens in a new window]  and
S. Kim
L.V.T. Nguyen
Affiliation:
Department of Aerospace Information Engineering, Konkuk University, Seoul, Korea
M. Tyan
Affiliation:
Department of Aerospace Information Engineering, Konkuk University, Seoul, Korea
J.-W. Lee*
Affiliation:
Department of Aerospace Information Engineering, Konkuk University, Seoul, Korea
S. Kim
Affiliation:
Department of Smart Vehicle Engineering, Konkuk University, Seoul, Korea
*
jwlee@konkuk.ac.kr
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Abstract

This paper proposes a procedure to improve the accuracy of the light aircraft 6 DOF simulation model by implementing model tuning and aerodynamic database correction using flight test data. In this study, the full-scale flight testing of a 2-seater aircraft has been performed in specific longitudinal manoeuver for model enhancement and simulation validation purposes. The baseline simulation model database is constructed using multi-fidelity analysis methods such as wind tunnel (W/T) test, computational fluid dynamic (CFD) and empirical calculation. The enhancement process starts with identifying longitudinal equations of motion for sensitivity analysis, where the effect of crucial parameters is analysed and then adjusted using the model tuning technique. Next, the classical Maximum Likelihood (ML) estimation method is applied to calculate aerodynamic derivatives from flight test data, these parameters are utilised to correct the initial aerodynamic table. A simulation validation process is introduced to evaluate the accuracy of the enhanced 6 DOF simulation model. The presented results demonstrate that the applied enhancement procedure has improved the simulation accuracy in longitudinal motion. The discrepancy between the simulation and flight test response showed significant improvement, which satisfies the regulation tolerance.

Keywords

6 DOF simulationmodel enhancementparameter estimationMaximum Likelihoodflight test
Type
Research Article
Information
The Aeronautical Journal , Volume 125 , Issue 1290 , August 2021 , pp. 1358 - 1379
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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