Crosswind information estimation method based on unmanned aerial vehicle crabbing method

Abstract

The invention relates to a crosswind information estimation method based on the unmanned aerial vehicle crabbing method. The crosswind information estimation method based on the unmanned aerial vehicle crabbing method comprises the following steps that test data generated during unmanned aerial vehicle crabbing are obtained; the obtained test data are processed; crosswind information estimation is conducted according to the relation between the yaw angle phi and the track angle phi <s> and the relation between the airspeed Va and the ground speed Vd, wherein crosswind information includes the amplitude of crosswind and the crosswind azimuth angle relative to the geomagnetic true north, and a certain included angle exists between the pointing direction of the head of an unmanned aerial vehicle and the crosswind. According to the crosswind information estimation method based on the unmanned aerial vehicle crabbing method, the requirement for real-time crosswind estimation in an unmanned aerial vehicle flight test can be met, the crosswind applied to the unmanned aerial vehicle when the unmanned aerial vehicle flies flat can be measured quite accurately by analyzing the speed relation existing when the unmanned aerial vehicle crabs, the safety coefficient is increased when the unmanned aerial vehicle flies, and the completeness of information is guaranteed.

Description

Technical field [0001] The invention relates to a method for estimating crosswind information based on an unmanned aerial vehicle's side flight method, which can solve the demand for crosswind estimation in an unmanned aerial vehicle flight test, and belongs to the technical field of unmanned aerial vehicle flight test measurement. Background technique [0002] The estimation of the side slip angle during the air flight of the UAV and the post-test data processing require urgent wind field information during the UAV flight. A technology is needed to obtain the UAV wind field information online. However, due to technical limitations, there is no reliable measurement equipment that can measure the incoming flow information of the wind field in the air, which brings difficulties to the estimation of the UAV wind field information. In addition, when the drone is flying in the air, the flight mode is mixed with the wind field in the air, which makes it difficult to identify the wind f...

AI Technical Summary

Problems solved by technology

However, due to technical limitations, so far there is no reliable measurement equipment that can measure the wind field inflow information in the air, which brings difficulties to the estimation of UAV wind field information

In addition, when UAVs fly in the air, the flight mode is mixed with the wind field in the air, which makes it difficult to identify the wind field information from the flight data, and also brings certain difficulties to the acquisition of wind field information.

[0003] In the existing UAV flight test, it is impossi

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