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Drag polar modelling for jet aircraft using 6-DOF model data via cuckoo search algorithm

Published online by Cambridge University Press:  10 January 2025

G. Yurttav ,
T. Mutlu  and
T. Baklacioglu Open the ORCID record for T. Baklacioglu [Opens in a new window]
G. Yurttav
Affiliation:
Turkish Aerospace Industries (TAI, TUSAS), Ankara 06980, Turkey
T. Mutlu
Affiliation:
Turkish Aerospace Industries (TAI, TUSAS), Ankara 06980, Turkey
T. Baklacioglu*
Affiliation:
Turkish Aerospace Industries (TAI, TUSAS), Ankara 06980, Turkey Faculty of Aeronautics and Astronautics, Eskisehir Technical University, Eskisehir 26555, Turkey
*
Corresponding author: T. Baklacioglu; Email: [email protected]
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Abstract

This paper describes a reverse engineering methodology so as to accomplish an aero-propulsive modelling (APM) through implementing a drag polar estimation for a case study jet aircraft in case of the absence of the thrust data of the aircraft’s engine. Since the available thrust force can be replaced by the required thrust force for the sustained turn, this approach allows the elimination for the need of the thrust parameter in deriving an aero-propulsive model utilising equations of motion. Two different modelling approaches have been adopted: (i) implementing the 6-DOF model data for sustained turn and climb flight to achieve induced drag model; and then incorporating the glide data to obtain the total drag polar model; (ii) using the 6-DOF model data together with introducing the effect of CL-α dependency. The error assessments showed that the derived CSA models were able to predict the drag polar values accurately, providing linear correlation coefficient (R) values equal to 0.9982 and 0.9998 for the small α assumption and CL-α dependency, respectively. A direct comparison between the trimmed CD values of 6-DOF model and the values predicted by the CSA model was accomplished, which yielded highly satisfactory results within high subsonic and transonic CL values.

Keywords

drag polar modellingaircraftflight phasescuckoo search algorithmoptimisation
Type
Research Article
Information
The Aeronautical Journal , First View , pp. 1 - 24
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Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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