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The UAV Landing Quality Evaluation Research Based on Combined Weight and VIKOR Algorithm

机译:基于组合权重和Vikor算法的UAV降落质量评价研究

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摘要

This paper aims to use the VIKOR method to evaluate the landing quality of unmanned aerial vehicle (UAV) based on flight parameters, determining the parameter interval of the landing quality classification. At present, the evaluation of UAV landing quality mainly depends on experts’ experience or single parameter exceeding the limit, whose results are inevitably lack of scientific and objectivity. In order to improve this problem, we evaluated the landing quality with multiple flight parameters, and determined the absolute criteria using the resulting ranking. Firstly, analyzed the influence of flight parameters on the landing quality, and determined the decision matrix. Secondly, use the combination weighting method consisting of the precedence chart method and the entropy weight method to determine the weights. Moreover, VIKOR was selected as the method, whose results was given by comprehensive evaluation with sorts of flight parameters. And then we took the original data that landing sorties was in the top 20% VIKOR ranking and determined the absolute criteria for UAV landing quality evaluation. Finally, compared the evaluation results of the TOPSIS and VIKOR, it can be known that there is a high similarity between TOPSIS and VIKOR ranking with correlation coefficient 0.917, but the VIKOR method is better in UAV landing quality evaluation.
机译:本文旨在使用Vikor方法根据飞行参数来评估无人机(UAV)的着陆质量,确定着陆质量分类的参数间隔。目前,无人机降落质量的评估主要取决于专家的经验或单一参数超过限制,其结果不可避免地缺乏科学和客观性。为了改善这个问题,我们评估了多种飞行参数的着陆质量,并使用所得排名确定绝对标准。首先,分析了飞行参数对着陆质量的影响,并确定了决策矩阵。其次,使用由优先曲目方法和熵权法组成的组合加权方法来确定权重。此外,vikor被选为该方法,其结果是通过各种飞行参数进行综合评估。然后我们采取了原始数据,即登陆的排序是前20%的Vikor排名,并确定了UAV降落质量评估的绝对标准。最后,与Topsis和Vikor的评估结果进行了比较,可以知道,Topsis和Vikor之间的高度相似性与相关系数0.917,但Vikor方法在UAV降落质量评估中更好。

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