Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence

Author:

Liu Jianqiang12,Zhao Zhan12,Fang Zhen12,Li Yong3,Du Lidong12ORCID

Affiliation:

1. State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. Key Laboratory of Transportation Meteorology, China Meteorological Administration, Nanjing 210008, China

Abstract

An airborne anemometer, which monitors wind on the basis of Meteorological Multi-rotor UAVs (Unmanned Aerial Vehicles), is important for the prevention of catastrophe. However, its performance will be affected by the self-excited air turbulence generated by UAV rotors. In this paper, for the purpose of the correction of an error, we developed a method for the elimination of the influence of air turbulence on wind speed measurement. The corresponding correction model is obtained according to the CFD (Computational Fluid Dynamics) simulation of a six-rotor UAV which is carried out with the sliding grid method and the S-A turbulence model. Then, the model is applied to the developed prototype by adding the angle of attack compensation model of the airborne anemometer. It is shown by the actual application that the airborne anemometer can maintain the original measurement accuracy at different ascent speeds.

Funder

National Key Research and Development Project

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference25 articles.

1. Environmental chemical sensing using small drones: A review;Javier;Sci. Total Environ.,2020

2. Application of drone in agriculture;Ahirwar;Int. J. Curr. Microbiol. Appl. Sci.,2019

3. Review on application of drone systems in precision agriculture;Mogili;Procedia Comput. Sci.,2018

4. A novel meteorological sensor data acquisition approach based on unmanned aerial vehicle;Li;Int. J. Sens. Netw.,2018

5. Malaver Rojas, J., Gonzalez, F., Motta, N., Depari, A., and Corke, P. (2012, January 11). Towards the development of a gas sensor system for monitoring pollutant gases in the low troposphere using small unmanned aerial vehicles. Proceedings of the Workshop on Robotics for Environmental Monitoring, Available online: http://eprints.qut.edu.au/52042/.

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