Servo-Driven Flapping-Wing Aerial Vehicle (FWAV): Payload Capacity and Navigation Performance

Muhammad Labiyb Afakh*, Azhar Aulia Saputra, Hidaka Sato, Kazuyoshi Wada, Naoyuki Takesue

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the current situation, environmental monitoring and disaster mitigation become a concern. There are many developed robot in different type for enviromental issue, but some robot has limitation on coverage area. To solve that problem, several researcher also developed FWAV that has potential on environment monitoring application. This study aims to enhance the potential of Flapping Wing Aerial Vehicles (FWAVs) for wider implementation in these fields. While most FWAVs traditionally use a single actuator, leading to manufacturing and design complexity, recent trends show a shift towards servo-driven mechanisms due to their enhanced capabilities. We achieve modularity through a design that allows for easy assembly and disassembly of main wings, tail, and hardware components. Performance enhancements are realized through the implementation of a square wave pattern as the input signal for flapping motion, which outperforms the common sinusoidal wave pattern as input signal. By adjusting the center of gravity and flapping parameters, we demonstrate the FWAV's potential to carry payloads of up to 100 grams which is almost 28% of its weight, suitable for small-scale environmental monitoring missions. Additionally, we implement a collision avoidance system to enhance the FWAV's ability to navigate safely in complex environments.

Original languageEnglish
Title of host publication2025 IEEE/SICE International Symposium on System Integration, SII 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1071-1076
Number of pages6
ISBN (Electronic)9798331531614
DOIs
StatePublished - 2025
Externally publishedYes
Event2025 IEEE/SICE International Symposium on System Integration, SII 2025 - Munich, Germany
Duration: 21 Jan 202524 Jan 2025

Publication series

Name2025 IEEE/SICE International Symposium on System Integration, SII 2025

Conference

Conference2025 IEEE/SICE International Symposium on System Integration, SII 2025
Country/TerritoryGermany
CityMunich
Period21/01/2524/01/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

ASJC Scopus subject areas

  • Modeling and Simulation
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Control and Optimization

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