Unmanned aerial vehicle landing and running distance prediction method based on multiple linear regression

The invention discloses an unmanned aerial vehicle landing and running distance prediction method based on multiple linear regression, and the method comprises the steps: obtaining main factors affecting the landing and running distance of an unmanned aerial vehicle when the unmanned aerial vehicle and an airport runway are determined; wherein the main factors are wind direction component, landing weight and external atmospheric temperature; according to actual flight data of the unmanned aerial vehicle, fitting the landing and running distance of the unmanned aerial vehicle and the influence factors of the main factors by using multiple linear regression analysis to obtain a landing and running distance fitting formula; and through the landing and running distance fitting formula, predicting the landing and running distance of the unmanned aerial vehicle in other working condition combinations. The method is high in prediction efficiency and accurate and available in data. 本发明公开了一种基于多元线性回归的无人机着陆滑跑距离预测方法，其包括：