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May 28, 2026Drones0 citationsOpen Access

Data Acquisition with Optical and Force Sensors for an Eagle-Shaped Ornithopter

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ARAlejandro RamosAHAhmad HammadSASophie F. Armanini

Key Points

  • The research aims to gather data on a flapping-wing micro air vehicle for improved dynamic modeling and simulation.
  • Conducted tethered and clamped experiments to track motion and wing kinematic angles.
  • Examined aerodynamic force patterns and various physical properties, including mass and inertia tensor.
  • Developed a high-fidelity simulation model in MATLAB based on experimental datasets.
  • Identified key limitations in tethered and clamped configurations affecting steady-state flight.
  • Recognized structural fragility and over-simplified CAD geometry as constraints.
  • Established a framework to link experimental data to physical models for future ornithopter improvements.

Abstract

This paper presents the process of gathering data for a flapping-wing micro air vehicle (FWMAV) using optical tracking and force sensors for subsequent dynamic modeling and simulation purposes. Tethered and clamped experiments were performed to track the vehicle’s overall motion, wing kinematic angles, and aerodynamic force patterns, while additional properties such as mass, inertia tensor, center-of-mass position, and short-period excitation frequency were also examined. The methodology includes the testing approaches, modeling choices, and error analyses applied to the measurements. The results demonstrate that both tethered and clamped configurations introduce key limitations, particularly for steady-state flight. Additional constraints include structural fragility (hindering high-frequency testing), over-simplified CAD geometry, and controller tuning issues on the tail. Based on the identified parameters and experimental datasets, a high-fidelity simulation model was developed in MATLAB to serve as a platform for future control and flight envelope studies. Overall, the combination of optical tracking and force sensing provides a structured framework for linking experimental data to physical models, laying the foundation for future improvements in ornithopter modeling and testing.

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Cite This Study

Ramos et al. (2026) studied this question.

synapsesocial.com/papers/6a17dc853fad632b0f9d9204https://doi.org/10.3390/drones10060411
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