Research On The Method Of Route Of Planning Aircraft Based On ADS-B

Single unmanned aerial vehicle(UAV)path planning is the basis of multiple unmanned aerial vehicle(UAV)path planning.In view of research that path planning of multiple UAVs algorithm can't adapt to the complex environment,on the basis of path planning algorithm,this paper improves the current process of path planning algorithm,and then extend it to multiple UAVs in collaborative planning.In view of research that the conventional auxiliary monitoring system can't offer sufficient accuracy and perfect timing for UAV complex missions,ADS-B which is a new monitoring technology has been applied.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 the superiority of ADS-B.Secondly,a path planning algorithm based on artificial potential algorithm with improved theory for unmanned aerial vehicle(UAV)is introduced.in order to improve the adaptability of complex conditions.Then,the evolution algorithm of UAV path planning were analyzed and summarized.The track of waypoints in a straight line connection were discovered.The artificial potential field will be used for guiding the evolutionary algorithm because of its advantages.By using this method,there are few waypoints used and more smooth than before.With this method to expanding multiple UAVs flight path planning,drones constraint functions are added to UAV path planning algorithm.Compared with the results of other multiple UAVs flight path planning,artificial potential guided evolutionary algorithm for UAVs was testified better which has less waypoints and more smooth route.Finally,the equipment of the experimental platform is introduced,including ADS-B UAVs equipment,ground station,monitoring software and so on.The experiment of ADS-B system is carried out.Results show that the ADS-B system has more accurate surveillance capability.This article provide the theoretical basis for ADS-B system of multiple unmanned aerial vehicle(UAV)path planning.