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An improved filter-u least mean square vibration control algorithm for aircraft framework.

Quanzhen Huang1, Jun Luo2, Zhiyuan Gao2

  • 1School of Electrical Information Engineering, Henan Institute of Engineering, Henan 451191, People's Republic of China.

The Review of Scientific Instruments
|October 3, 2014
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Summary
This summary is machine-generated.

This study introduces an improved Filter-u Least Mean Square (FULMS) algorithm for active vibration control in aerospace structures. The new method effectively extracts vibration reference signals, enhancing practical application and performance.

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Area of Science:

  • Aerospace Engineering
  • Control Systems
  • Mechanical Vibrations

Background:

  • Active vibration control is crucial for aerospace structures.
  • The Filter-u Least Mean Square (FULMS) algorithm is a key method, but faces challenges in vibration reference signal extraction.
  • Practical limitations hinder the widespread application of existing FULMS algorithms.

Purpose of the Study:

  • To address the challenge of vibration reference signal extraction in FULMS algorithms.
  • To propose an improved FULMS algorithm for practical active vibration control of aerospace structures.
  • To enhance the vibration suppression performance and applicability of FULMS algorithms.

Main Methods:

  • Developed an improved FULMS algorithm for active vibration control.
  • Constructed the reference signal using controller structure and in-process data.
  • Utilized a vibration response residual signal extracted directly from the structure.
  • Built an aircraft frame model and an experimental platform for validation.

Main Results:

  • The proposed algorithm demonstrates improved practicality for vibration control.
  • Simulation and experimental results confirm good vibration suppression performance.
  • The novel reference signal extraction method overcomes existing technical limitations.

Conclusions:

  • The improved FULMS algorithm offers a practical solution for vibration reference signal extraction.
  • The proposed method enhances the effectiveness of active vibration control in aerospace applications.
  • This research contributes to more robust and efficient aerospace structural vibration management.