Research On The Method Of Avoidance Of Navigational Aircraft Based On ADS-B

As a high-tech aviation industry,General aviation plays an important role in promoting the national economic growth.Although China's general aviation has begun to take shape,but it will be demand a broader request,with the development of the times.The improving traffic demand has led to an increase in flight traffic,so the problem of flight conflict is significant and threats flight safety.In order to improve the safety of aviation,there have been appeared a lot of auxiliary monitoring system.ADS-B can comprehensive provide flight data,is a new monitoring technology.Compared with other monitoring technologies,ADS-B has the advantages of high precision,fast data updating,low construction cost and so on.Intensive flight navigation hedging problem can be divided into two parts: aircraft conflict detection and conflict resolution.In this paper,ADS-B technology is used to study the hedging problem.Firstly,by analyzing the technical characteristics of ADS-B,including the data structure,refresh rate,etc.,to determine the performance index of the aircraft using ADS-B,and analysis of ADS-B superiority used to solve the general aviation conflict detection and resolution problem.Secondly,by analyzing the structure of the airspace,the model of the protected area of the aircraft is established.Based on this model,the motion equation of the aircraft is given,the conflict detection model and the model of the resolution are established.This paper introduces the identification method of conflict detection,expatiates the method of aircraft conflict resolution,and puts forward three kinds of resolution methods-adjust the heading angle,adjust the navigation speed and dynamic conflict resolution strategy.Then,since the dynamic conflict resolution strategy requires a fast optimization algorithm to solve the key problem,so the particle swarm optimization algorithm is improved in this paper.Due to the uncertainties of aircraft trajectory prediction,such as radar,missile,climate,etc.,so it is important to consider the influence of uncertain factors such as real environmental barriers in the proposed dynamic adaptive robot particle swarm optimization(DARPSO)algorithm.In resolving the issue of conflict resolution,DARPSO can adjust the balance between particle exploration ability and searching ability,modify the parameters of the algorithm in the process of conflict resolution,while maintaining the diversity between particles.The simulation results show the proposed algorithm has been greatly improved in terms of convergence accuracy and convergence rate.The proposed DARPSO is applied to the simulation experiment of conflict resolution,which can show better resolution effect and greatly shorten the release time.Finally,the equipment of the experimental platform is introduced,including ADS-B airborne equipment,ground station,monitoring software and so on.The development of the experiment was supported by Shijiazhuang Aircraft Industry Co.,Ltd.The ADS-B airborne equipment was installed on the Y5 B aircraft,and the test results were carried out.The experimental results show that the work done in this paper is of great help to solve the problem of navigable intensive flight avoidance.