Adaptive decision-making method for unmanned aerial vehicle in response to harsh environment, and corresponding unmanned aerial vehicle

Abstract

The invention relates to the field of unmanned aerial vehicles, in particular to an adaptive decision-making method for an unmanned aerial vehicle in response to the harsh environment, and the corresponding unmanned aerial vehicle. The adaptive decision-making method comprises the steps that the meteorological conditions within the preset range of the unmanned aerial vehicle are detected based ona sensor pre-arranged on the unmanned aerial vehicle, and the meteorological conditions are converted into corresponding meteorological data; the meteorological data are guided into a harsh meteorological condition mathematical model, and the threat degree of the meteorological conditions to the unmanned aerial vehicle is calculated by combining with the flight parameters of the unmanned aerial vehicle; and the flight mission of the unmanned aerial vehicle is evaluated by an artificial intelligence expert system according to the threat degree, corresponding execution strategies of the unmannedaerial vehicle are obtained, and the unmanned aerial vehicle is controlled to conduct mission re-planning according to the execution strategies. The unmanned aerial vehicle can make decisions autonomously during encountering the harsh environment, especially the harsh meteorological conditions, and thus the unmanned aerial vehicle can better complete flight operation.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicles, in particular to an adaptive decision-making method for an unmanned aerial vehicle to cope with harsh environments and a corresponding unmanned aerial vehicle. Background technique [0002] With the development of the domestic aviation industry, unmanned aircraft technology is gradually becoming mature, providing updated technical methods and means for power lines, public security fire protection, sea and land patrols, etc. Unmanned aircraft is a machine that flies in the air. Unmanned driving means that it needs to deal with risks and avoid risks more autonomously. The flight of drones in aerial operations is affected by many uncertain factors, such as the uncertainty of drone platforms, changes in target locations, and changes in target tasks. , changes in the environment, etc., and the larger external factor is weather conditions. During the process of taking off, landing or performing ...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the above technical problems, especially the problem that UAVs in the prior art cannot make autonomous decisions under severe weather conditions, the following technical solutions are proposed:

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