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Visualized neural network-based vibration control for pigeon-like flexible flapping wings.

Hejia Gao1, Jinxiang Zhu2, Changyin Sun3

  • 1School of Artificial Intelligence, Anhui University, Hefei 230601, China; Anhui Provincial Key Laboratory of Security Artificial Intelligence, Anhui University, Anhui 230601, China; Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, Anhui 230601, China.

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|January 4, 2025
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Summary

This study introduces an adaptive vibration controller for flexible flapping wings, enhancing stability and performance. The method effectively suppresses vibrations, proving valuable for diverse military and civil applications.

Keywords:
Adaptive controlFlexible wingsSliding-mode controlVibration suppression

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Area of Science:

  • Robotics and Control Systems
  • Aerospace Engineering
  • Biomimetics

Background:

  • Flexible flapping wings offer advantages like low energy consumption but suffer from vibration-induced performance degradation.
  • Effective vibration control is crucial for the practical application of these systems.

Purpose of the Study:

  • To develop a dynamic model and an adaptive vibration controller for pigeon-like flexible flapping wings.
  • To address system uncertainties and actuator failures in flexible wing control.

Main Methods:

  • An improved rigid finite element method (IRFE) was used to create a dynamic visualization model.
  • An adaptive vibration controller combining non-singular terminal sliding mode (NTSM) control and fuzzy neural network (FNN) was designed.
  • Lyapunov's stability theory was applied to ensure closed-loop system stability.

Main Results:

  • The proposed controller demonstrated effective trajectory tracking and vibration suppression.
  • Simulations confirmed the controller's robustness against system uncertainties and potential actuator failures.
  • The developed dynamic model provided valuable insights into flexible wing behavior.

Conclusions:

  • The adaptive vibration controller significantly enhances the stability and performance of flexible flapping wings.
  • The study validates the practical utility of the proposed control method for both military and civil applications.
  • This research contributes to the advancement of bio-inspired aerial robotics.