Research On Construction Method Of UAV Avoidance Decision Scheme

In recent years,drone technology has developed rapidly.UAVs have gradually been used in various industries due to their excellent maneuverability and the advantages of not causing casualties.At the same time,the demand for airspace resources of various types of aircraft is increasing day by day.In response to this situation,China has continuously introduced new airspace opening policies.In the foreseeable future,the sharing of airspace resources by many types of aircraft,including drones,will become an inevitable trend of development.Whether a drone has the ability to make autonomous avoidance decisions when it conflicts with multiple targets is the key to whether it can share airspace resources with other aircraft and ensure flight safety between aircraft.It is also an indispensable research content in its technological development process.At present,there are few studies on evasion decisions for drones,which cannot meet the needs of evasion decisions for drones in complex airspace environments.Therefore,the research on the construction method of UAV avoidance decision-making scheme still needs us to conduct more in-depth research and discussion.In this paper,the research on the construction method of UAV avoidance decision scheme is carried out through the following aspects.First,research the current status of UAVs and air traffic control systems,conduct a comprehensive analysis of the airspace environment that UAVs may encounter,summarize the various factors that affect the results of UAV decision-making programs,and classify these factors at a hierarchical level.Based on the analysis method,the drone avoidance strategy program index system is completed.Secondly,comprehensive analysis can solve the analytic hierarchy process of the weights of various factors.Aiming at the advantages and disadvantages of various scaling methods in the analytic hierarchy process,a combination of three scaling methods is proposed to form a multi-scale analytic hierarchy process.A judgment matrix is??constructed by comparing the factors one by one,and the weights of the factors are solved on the premise that all the judgment matrices meet the consistency.Furthermore,according to the needs of the actual flight scenario,a membership function that can modify the weight value is constructed,and the final weight value is analyzed by combining weighting methods.Further,the simulation verification of the establishment of the drone avoidance decision scheme is performed.The verification results show that the method can allow the drone to reasonably construct an avoidance strategy plan in the face of multiple conflicts and complex and changeable airspace environments,so that it meets the need for avoidance decision under actual human-machine flight conditions.Finally,the fuzzy comprehensive evaluation of the weight value results obtained by the multi-scale analytic hierarchy process is carried out,and a fuzzy comprehensive evaluation model is established by sorting out the opinions of 25 experts.The obtained evaluation results show that the weight values calculated by the analytic hierarchy process are all recognized,which proves that the method has extensive application value in the construction of UAV avoidance decision schemes.