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Three-Dimensional Wind Measurement Based on Ultrasonic Sensor Array and Multiple Signal Classification.

Bian Ma1, Jing Teng1, Huixian Zhu1

  • 1School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China.

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|January 23, 2020
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Summary
This summary is machine-generated.

This study introduces a novel semi-conical ultrasonic sensor array for precise 3D wind measurement, improving wind turbine control and grid integration. The method accurately estimates wind speed and direction, even in noisy conditions.

Keywords:
3D vectorMUSIC algorithmultrasonic sensor arraywind measurement

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Area of Science:

  • Engineering
  • Environmental Science
  • Physics

Background:

  • The wind power industry is growing globally.
  • Wind speed and direction fluctuations complicate wind turbine control and grid integration.
  • Accurate 3D wind measurement is crucial for maximizing wind energy utilization.

Purpose of the Study:

  • To propose a precise method for measuring wind speed and direction in three-dimensional (3D) space.
  • To facilitate enhanced wind turbine control and integration into the electrical grid.
  • To address the challenges posed by natural wind's variability.

Main Methods:

  • A semi-conical ultrasonic sensor array was designed for simultaneous 3D wind measurement.
  • The Multiple Signal Classification (MSC) algorithm was employed to estimate wind information from ultrasonic signals.
  • Accuracy was assessed using root mean square error (RMSE) and mean absolute error (MAE).
  • Robustness was evaluated via type A evaluation of standard uncertainty under varying signal-to-noise ratios (SNR).

Main Results:

  • Simulation results validated the proposed method's accuracy and anti-noise performance.
  • Estimated wind speed and direction errors converged to zero at SNR levels exceeding 15 dB.
  • The MSC algorithm effectively mitigated environmental noise and signal interference.

Conclusions:

  • The proposed semi-conical ultrasonic sensor array and MSC algorithm provide an accurate and robust solution for 3D wind measurement.
  • This technology can significantly improve wind turbine control strategies.
  • Enhanced wind data acquisition supports more efficient integration of wind power into the electrical grid.