Airplane wake flow circulation inversion method and device based on path integration

Abstract

The invention relates to an airplane wake flow circulation inversion method and device based on path integration. The method comprises the following steps of: establishing a plane-coordinate system according to the position of a detection device; detecting the aircraft wake flow according to a detection result of the detection device; acquiring doppler velocity distribution in a plane coordinate system; depending on Doppler velocity distribution, determining a left vortex center coordinate and a right vortex center coordinate generated by aircraft wake flow in the plane coordinate system; according to the left vortex center coordinate and the right vortex center coordinate, eliminating Doppler velocity corresponding to background wind acquiring actual Doppler velocity distribution throughupdating, conducting integration on the actual Doppler velocity distribution in the detection direction of the detection device, and acquiring aircraft wake flow circulation. The aircraft wake flow circulation can be calculated by considering the calculation amount, the accuracy and the robustness.

Description

technical field [0001] The present application relates to the technical field of aviation safety, in particular to a method and device for retrieving aircraft wake circulation based on path integrals. Background technique [0002] Aircraft wake is a strong counter-rotating airflow formed behind it due to the pressure difference between the upper and lower surfaces of the wing. It is an inevitable physical phenomenon during aircraft flight. It has the characteristics of large spatial scale, long duration, and strong rotation. It is one of the most serious hazards in the field of aviation safety. At present, the sensors used to detect aircraft wake mainly include microwave radar and lidar. In clear sky conditions, LiDAR can sense the floating dust particles modulated by wake motion very well, so LiDAR is a good wake detection sensor in this case. In the case of rain, fog, and snow, the attenuation of lidar is too strong, so the better sensor at this time is microwave radar. ...

AI Technical Summary

Problems solved by technology

For example, Holzapfel et al. proposed a method of using the tangential velocity of the aircraft wake to invert the circulation. This method requires a small amount of calculation, but the accuracy and robustness need to be improved

Frehlich et al. used the aircraft wake velocity model and spectrum data to establish the target equation, and solved the target equation by the maximum likelihood method to calculate the circulation of the aircraft wake; Smalikho et al. used the radial velocity to solve the vortex center position, and used the laser radar Scanning the spectrum model of the aircraft wake to calculate the wake circulation, these two methods have high accuracy and robustness, but require a large amount of calculation

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