Quantitative Research On Flight Quality Of UAV Operators Based On Flight Data

Since the birth of the UAV its performance has been continuously improved with the continuous development of technology.As an unmanned aerial vehicle,the UAV has the characteristics of low production cost,convenient use,high task completion rate and low risk.This has also made it more popular in various fields,and has performed well in both military and civilian applications.Along with the wide application of unmanned aerial vehicles,the problems of the UAV's own quality and the flight control ability of the flight controller have gradually become prominent.The number of people currently holding UAV flight licenses is far from sufficient.Training and assessment for UAV flight is more subjective.Therefore,this paper proposes an evaluation method for the flight control capability of the UAV flight controller.This method is mainly divided into two parts.The first part mainly evaluates the handling quality of the UAV.In this part,this paper uses the classification algorithm in data mining,collects the flight log data of the UAV,extracts the key feature indicators,models it,and outputs an evaluation model of the UAV flight control quality.The second part is an assessment of the UAV path.In this part,this paper selects the ant colony algorithm to carry out two-dimensional space track planning for the UAV,divides the flight area by the grid method,and sets obstacles according to the threat area in the actual mission,and finally generates the path of the UAV flight.The actual flight path is compared with it for evaluation.Finally,this paper integrates the above two parts into the flight capability assessment of the UAV flight controller,evaluates it from five aspects of flight capability,and builds an evaluation guidance and visualization system on the Web.