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An Experimental Method for Dynamic Modeling of Hover-capable Tailless Flapping-wing Micro Air Vehicles

delete2026-08-06
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PRE
AI
H
Heyu Cao
吴江浩 (Jianghao Wu)
C
Cheng Cheng
Y
Yanlai Zhang
L
Long Chen
P
Peng Tang *
DOI:10.1007/s42235-026-00957-zdelete
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Abstract

Abstract

En 中文
Despite the exceptional maneuverability of hover-capable tailless flapping-wing micro air vehicles, the inherent complexity of their unsteady aerodynamics poses significant challenges for developing precise dynamic models for controller design. To address this, this paper proposes ground-based damping pendulum experiments to construct a full damping dynamic model that incorporates parasitic drag damping. The parasitic drag damping is decoupled from flapping-induced damping by experimentally measuring the damping coefficients across three configurations: with wings and flapping, with wings and no flapping, and without wings. Quantitative analysis reveals that, compared with a model that considers only flapping-induced damping, the full damping dynamic model predicts the oscillation periods of longitudinal and lateral unstable modes decrease by 4.27% and 2.24%, respectively. The accuracy of the full damping model is validated by cascaded PID closed-loop control simulations; compared to flight test data, the root-mean-square errors for pitch and roll attitudes are only 1.78° and 2.78°, respectively. Furthermore, this study investigates the influence of wing geometry on aerodynamic derivatives. Results indicate that flapping-induced damping effects increase as the aspect ratio decreases. Finally, an experimentally corrected aerodynamic derivative estimation method is established. This study provides a feasible empirical modeling framework for the conceptual design and controller synthesis of FWMAVs.
Keywords:
Flapping wing
Dynamic modeling
Aerodynamic derivatives
Parasitic drag damping
Flight control

Journal

Journal of Bionic Engineering cover
Journal of Bionic Engineering
IF:
5.8
Papers:
1.9K
Citations:
4.8K

Organization

S
School of Transportation Science and Engineering
Scholars:
73
Papers: 17
Citations: 0