Enhancing Drone Gimbal Stability via Structural Modelling and Damper Design in order to Improve Vision Quality

Date

2024-9

Author

Çevik, Gözde Nur

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The rapid integration of drones across various industries requires advancements in the stability and performance of their components; such as the gimbal system for vision quality improvement. This thesis focuses on designing a passive gimbal damper using viscoelastic material, employing finite element analysis (FEA) and obtaining a transfer function for comprehensive stability assessment. The research begins with the implementation of a viscoelastic material model within the FEA framework, allowing for an intricate understanding of the gimbal systems dynamic behavior. The finite element analysis facilitates not only the simulation and optimization of the proposed damper design but also the extraction of a transfer function, offering a concise representation of the system response to external stimuli. The study encompasses the integration of the viscoelastic material model, the correlation between theoretical predictions of derived transfer function and experimental analyses. The implemented design demonstrates results in mitigating vibrations and improving overall stability, thus positively impacting drone vision quality. This research not only contributes to advancing drone technology but also provides insights into the broader application of viscoelastic dampers. The methodology, establishes a foundation for further optimization of drone components, influencing the capabilities and reliability of unmanned aerial systems in various operational environments.

Subject Keywords

Damper Design, Drone Gimbal, Vibration, Modal Analysis, Viscoelastic Materials

URI

https://hdl.handle.net/11511/113043

Collections

Graduate School of Natural and Applied Sciences, Thesis