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Maximisation the autonomous flight performance of unmanned helicopter using BSO algorithm

Published online by Cambridge University Press:  29 April 2024

M. Konar Open the ORCID record for M. Konar [Opens in a new window]  and
S. Arık Hatipoğlu Open the ORCID record for S. Arık Hatipoğlu [Opens in a new window]
M. Konar*
Affiliation:
Department of Aircraft Electrical and Electronics, Faculty of Aeronautics and Astronautics, Erciyes University, Kayseri, Türkiye
S. Arık Hatipoğlu
Affiliation:
Department of Aircraft Electrical and Electronics, Faculty of Aeronautics and Astronautics, Erciyes University, Kayseri, Türkiye
*
Corresponding author: M. Konar; Email: mkonar@erciyes.edu.tr
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Abstract

The usage areas of rotary or fixed wing unmanned aerial vehicles (UAV) have become very widespread with technological developments. For this reason, UAV designs differ in terms of aerodynamic design, flight performance and endurance depending on the intended use. In this study, maximising of the autonomous flight performance of the unmanned helicopter produced at Erciyes University using an optimisation algorithm is discussed. For this purpose, the input parameters of the dynamic model are chosen as blade length, blade mass density, blade chord width and blade twist angle of the unmanned helicopter and the proportional, integral, derivative gain coefficients of the lateral axis of the autopilot. The output parameters of the dynamic model are selected as settling time, rise time and maximum overshoot, which are autonomous performance parameters. The dynamic model consisting of helicopter and autopilot parameters is integrated into the back-tracking search optimisation (BSO) algorithm as an objective function. In the optimization process, where mean squared error (MSE) is used as the performance criterion, optimum input and output values were determined. Thus, helicopter and autopilot parameters, which are among the factors affecting autonomous performance, are taken into account with equal importance and simultaneously. Simulations show that the obtained values are satisfactory. With this approach based on the optimisation method, complex and time-consuming dynamic model calculations are reduced, time and cost are saved, and practicality is achieved in applications. Therefore, this approach can be an innovative and alternative method to improve UAV designs and increase flight performance compared to classical methods.

Keywords

back-tracking search optimisationautonomous flight performancehelicoptersUAVoptimisation
Type
Research Article
Information
The Aeronautical Journal , First View , pp. 1 - 12
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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