Avoidance priority operation strategy of UAV based onimproved greycorrelation projection method

Aiming at the safety problems of flight avoidance caused by multiple aircraft performing tasks together in the mixed airspace in the future,a priority operation strategy of UAV avoidance based on improved grey correlation projection method with combination weighting was proposed.Firstly,this paper analyzed the factors affecting the collision avoidance process from the perspectives of airspace management,aviation regulations and risk assessment,and constructed the evaluation index system of UAV collision avoidance.Secondly,the analytic hierarchy process (AHP) and rough entropy method were used to assign subjective and objective weights,and the deviation and minimum objective optimization function were constructed by the cooperative game method to fuse subjective and objective weights to determine the final weight,so as to overcome the disadvantages of the arbitrary subjective weight and objective weight relying too much on data.Thirdly,the fusion algorithm of TOPSIS and gray correlation projection method were used to comprehensively evaluate the UAV avoidance object,so as to obtain the UAV priority avoidance operation strategy.Finally,the fusion algorithm was compared with TOPSIS algorithm.The results show that compared with TOPSIS method,the acquisition strategy of the fusion algorithm is consistent with the airspace operation practice,and the sensitivity is improved by 17.08%.The algorithm avoids the data loss of single algorithm and improves the accuracy of acquisition strategy,which provides a new idea for the acquisition of UAV operation strategy in mixed airspace.