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Multi-objective Optimization of Aerodynamic Blade Shapes for Quadcopter System to Enhance Hovering Thrust and Power Consumption Efficiency

Multi-objective Optimization of Aerodynamic Blade Shapes for Quadcopter System to Enhance... This study focuses on maximizing hovering thrust and minimizing the power consumption of a quad-copter system at the same time by conducting multi-dimensional optimization of aerodynamic blade shapes. This work examines geometrical design variables for blades that influence thrusts, and the lift and drag (L&D) forces are calculated based on shape changes using computational fluid dynamics (CFD). Based on both L&D forces obtained from CFD, surrogate models are generated using the response surface method (RSM). The non-dominated sorting genetic algorithm (NSGA-II) is employed to acquire optimal blade shapes. Seven alternative shape combinations are obtained from the optimal combination obtained by the NSGA-II, each with a different L and D force value. These blades are printed engines via additive manufacturing, and a thrust test is conducted to measure power consumption using a voltmeter. As a result, it was possible to derive optimal blade shape combinations that can be chosen according to the flight conditions, and one can see that the predicted flight (i.e., an operating motor of a rotor blade) time by the analytical equation to identify battery specs is a good agreement with the actual battery consumption time measured via the thrust test. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Aeronautical and Space Sciences Springer Journals

Multi-objective Optimization of Aerodynamic Blade Shapes for Quadcopter System to Enhance Hovering Thrust and Power Consumption Efficiency

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Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to The Korean Society for Aeronautical & Space Sciences 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
2093-274X
eISSN
2093-2480
DOI
10.1007/s42405-023-00600-9
Publisher site
See Article on Publisher Site

Abstract

This study focuses on maximizing hovering thrust and minimizing the power consumption of a quad-copter system at the same time by conducting multi-dimensional optimization of aerodynamic blade shapes. This work examines geometrical design variables for blades that influence thrusts, and the lift and drag (L&D) forces are calculated based on shape changes using computational fluid dynamics (CFD). Based on both L&D forces obtained from CFD, surrogate models are generated using the response surface method (RSM). The non-dominated sorting genetic algorithm (NSGA-II) is employed to acquire optimal blade shapes. Seven alternative shape combinations are obtained from the optimal combination obtained by the NSGA-II, each with a different L and D force value. These blades are printed engines via additive manufacturing, and a thrust test is conducted to measure power consumption using a voltmeter. As a result, it was possible to derive optimal blade shape combinations that can be chosen according to the flight conditions, and one can see that the predicted flight (i.e., an operating motor of a rotor blade) time by the analytical equation to identify battery specs is a good agreement with the actual battery consumption time measured via the thrust test.

Journal

International Journal of Aeronautical and Space Sciences – Springer Journals

Published: Jul 1, 2023

Keywords: Quad-copter system; Multi-dimensional optimization; Computational fluid dynamics (CFD); Non-dominated sorting genetic algorithm (NSGA-II); Thrust test

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