Unmanned aerial vehicle flight training control method and unmanned aerial vehicle flight training control apparatus

Abstract

The disclosure relates to an unmanned aerial vehicle flight training control method and an unmanned aerial vehicle flight training control apparatus. The unmanned aerial vehicle flight training control method includes the steps of obtaining a geographical coordinate scope of an actual no-fly zone and a current starting point geographical coordinate of an unmanned aerial vehicle; comparing the current starting point geographical coordinate of the unmanned aerial vehicle with the geographical coordinate scope of the actual no-fly zone to judge whether the unmanned aerial vehicle is within a non-no-fly zone; if the unmanned aerial vehicle is within the non-no-fly zone, controlling the unmanned aerial vehicle to fly along a preset virtual flight course, wherein the preset virtual flight courseincludes preset virtual barriers; obtaining attitude information and the geographical coordinate of the unmanned aerial vehicle; detecting the distance between the unmanned aerial vehicle and the preset virtual barriers; and judging whether the flight position of the unmanned aerial vehicle needs to be adjusted on the basis of the distance, form information of the preset virtual barriers and theattitude information of the unmanned aerial vehicle.

Description

technical field [0001] The present disclosure relates to the field of UAV training, and in particular to a UAV training flight control method and a UAV training flight control device. Background technique [0002] With the development of science and technology, unmanned aerial vehicle (UAV) emerges at the historic moment and is used more and more widely. For the sake of safety, drones need to undergo certain test flight training before officially performing their missions. Traditionally, there are two methods of flight training, one is simulated flight, that is to conduct test flight training completely through the virtual aircraft, virtual routes and virtual obstacles simulated on the computer; , real routes and real obstacles for flight training. Although the training cost of simulated flight is low, the operator's driving sense is not strong, and it cannot improve the flying skills well. Although the real flight can face the real environment, it may cause a huge loss o...

AI Technical Summary

Problems solved by technology

Although the training cost of simulated flight is low, the operator's driving sense is not strong, and it cannot improve the flying skills well

Although the real flight can face the real environment, it may cause huge losses when the aircraft hits obstacles due to operator errors

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