https://doi.org/10.1140/epjs/s11734-025-01593-0
Regular Article
Optimization of lift force generation in flapping-wing systems: a theoretical approach for intelligent flight control
1
Laboratory of Neurobiomorphic Technologies, Moscow Institute of Physics and Technology, 9 Institutskiy Ln., 141701, Dolgoprudny, Moscow Region, Russia
2
Department of Neurotechnology, Lobachevsky State University of Nizhny Novgorod, 23 Gagarin Ave., 603022, Nizhny Novgorod, Russia
Received:
31
January
2025
Accepted:
14
March
2025
Published online:
28
March
2025
This paper proposes a theoretical framework for optimizing lift force generation in flapping-wing systems combining analytical and data-driven methods to identify optimal parameters for wing oscillations. A theoretical optimization model for lifting force generation by oscillating wings was developed. The model employed a two-dimensional analysis of the interaction between the flapping wing and the surrounding airflow. An analytical expression for the lift force was derived, and the dependencies of lift on both the angle of attack and wing deflection angle were investigated. Our analysis revealed the existence of an optimal angle of attack that maximizes lift, a finding that presents a crucial control parameter for implementing intellectual, performance-maximizing flight maneuvers. The theoretical results were validated through experimental measurements of the lift force produced by a commercially available flapping-wing ornithopter.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
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.
