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Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
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In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
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Related Experiment Video

Updated: Jun 24, 2025

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata
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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; Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, Anhui 230601, China.

ISA Transactions
|June 4, 2024
PubMed
Summary

This study introduces a new control method to reduce vibrations in flexible flapping wings, enhancing their stability and performance for various applications. The adaptive controller ensures reliable flight for unmanned aerial systems.

Keywords:
Adaptive controlFlexible wingsFuzzy neural networksSliding-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 and deformation.
  • Effective vibration control is crucial for maintaining performance and stability in these systems.

Purpose of the Study:

  • To develop a dynamic visualization model for flexible flapping wings.
  • To design an adaptive vibration controller to address system uncertainties and actuator failures.

Main Methods:

  • An improved rigid finite element method (IRFE) was used for dynamic modeling.
  • An adaptive controller combining non-singular terminal sliding mode (NTSM) control and fuzzy neural network (FNN) was developed.
  • Lyapunov stability theory was applied to ensure closed-loop system stability.

Main Results:

  • The proposed controller effectively suppressed vibrations and achieved stable trajectory tracking.
  • Simulations demonstrated the controller's robustness against system uncertainties and actuator failures.
  • The method showed significant practical value for military and civil applications.

Conclusions:

  • The developed adaptive vibration controller enhances the reliability and performance of flexible flapping wing systems.
  • The IRFE modeling and NTSM-FNN control strategy offer a robust solution for vibration management.
  • This technology has broad applicability in unmanned aerial systems for diverse missions.