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The thrust balance model during the dragonfly hovering flight.

Kaixuan Zhang1, Xiaohui Su1, Yong Zhao2

  • 1School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, People's Republic of China.

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Summary
This summary is machine-generated.

This study introduces a dual-wing thrust balance model (DTBM) to resolve micro air vehicle (MAV) oscillations from thrust imbalances. The DTBM effectively balances thrust, improving MAV stability and control.

Keywords:
dragonflyforewing-hindwing interactionhovering flightthrust balance algorithmvortex dynamics

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Area of Science:

  • Aerospace Engineering
  • Biomimetics
  • Fluid Dynamics

Background:

  • Micro air vehicles (MAVs) experience oscillations due to thrust imbalances.
  • Achieving stable flight in MAVs, especially during hovering, remains a challenge.

Purpose of the Study:

  • To propose and validate a dual-wing thrust balance model (DTBM) for mitigating MAV oscillations.
  • To analyze the relationship between wing kinematics and thrust generation for improved MAV control.

Main Methods:

  • Developed a dual-wing thrust balance model (DTBM) using a modified rotation angle formula.
  • Investigated the effect of the 'au angle' (wing angle at mid-stroke) on thrust coefficient.
  • Analyzed thrust balance achievement and motion patterns (linear vs. nonlinear) in simulated dragonfly flight.

Main Results:

  • The DTBM reduces the average thrust coefficient to below 0.001 within a few iterations.
  • Thrust balance is achieved within 0.278 seconds for complex motion patterns.
  • Identified linear and nonlinear correlations between 'au angle', wing spacing, and flapping trajectories, linked to lateral force disturbances.

Conclusions:

  • The DTBM offers an effective solution for thrust imbalance issues in MAVs.
  • Understanding the nonlinear dynamics of wing motion is crucial for advanced MAV design.
  • Future MAVs can benefit from integrating the DTBM's algorithms for enhanced hovering stability.