Flight wind modeling based on QAR data

DOI:	10.11809/bqzbgcxb2023.05.029
Keywords:	wind model; wind profile; atmospheric turbulence; power spectrum; Markov process
Abstract:	For the problem that the traditional environmental wind model cannot describe the non Kolmogorov turbulent flow and wind direction variation, this paper proposes an environmental wind modeling method based on QAR data. The environmental wind model is divided into a wind direction module and a wind speed module. The correlation between wind profile coefficients and seasons is analyzed based on QAR data, and an average wind model that can describe the spatial and temporal characteristics of the average wind is established. Based on the Davenport power spectrum, the power spectrum of the measured turbulent flow is fitted, and the fitting results show that the scalar index of the actual turbulent flow power spectrum ranges from -1.98 to -1.13. The correlation between wind direction and wind speed is analyzed, and a wind direction modeling method based on Markov process is proposed considering the variation characteristics of wind direction. Finally, the environmental wind simulation experiments are conducted based on the above model, and the simulated environmental wind is introduced into the flight simulation experiments. The experimental results show that the method can describe the non Kolmogorov turbulent flow and wind direction variation, and can be applied to flight simulation.
Issue:	Vol. 44 No. 5 (2023)
Published:	2023-05-28
PDF HTML