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High-altitude vertical wind profile estimation using multirotor vehicles.

Alexander McConville1, Thomas Richardson1

  • 1Flight Lab, University of Bristol, Aerospace Engineering, Bristol, United Kingdom.

Frontiers in Robotics and AI
|March 20, 2023
PubMed
Summary
This summary is machine-generated.

This study presents an improved method for estimating wind speed and direction using multirotor vehicles, overcoming limitations of traditional methods for atmospheric profiling and pollution monitoring.

Keywords:
UASUAS operationsatmospheric sensingvertical profilingwind estimation

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Area of Science:

  • Atmospheric Science
  • Aerospace Engineering
  • Environmental Monitoring

Background:

  • Traditional atmospheric data collection methods like radiosondes and ground sensors have limitations.
  • Multirotor vehicles' orientation changes reveal wind conditions, offering a potential alternative.
  • Accurate wind data is crucial for weather forecasting and pollution monitoring.

Purpose of the Study:

  • To improve wind speed and direction estimation using multirotor vehicles.
  • To incorporate corrections for climbing flight during vertical atmospheric profiling.
  • To validate the enhanced estimation method against established sensors.

Main Methods:

  • Developed an improved model for wind estimation from multirotor vehicle orientation changes.
  • Implemented corrections for climbing flight to enhance vertical profiling accuracy.
  • Validated the method using sonic anemometer data and conducted field measurements.

Main Results:

  • The improved multirotor wind estimation method demonstrated enhanced accuracy during vertical profiling.
  • Successfully gathered wind profiles up to 3000m Above Ground Level (AGL) around Volcan De Fuego.
  • The UAS-based approach showed potential to overcome practical limitations of radiosondes.

Conclusions:

  • Multirotor vehicles offer a viable and accurate alternative for atmospheric wind profiling.
  • The developed corrections significantly improve wind estimation accuracy in climbing flight.
  • This technology can enhance weather forecasting and pollution monitoring capabilities.