Research On Aircraft Flight Dynamic Prediction Based On Electronic Process Single Data

With the substantial increase of air traffic volume,complex and changeable air transport tasks and severe limitations of air area,it brings great challenges to the tower control work of civil aviation air traffic control.In order to ensure the safety of aviation transportation,controllers use flight progress sheet to record the dynamics of each aircraft,coordinate and control the distance between aircraft to avoid collisions and other unsafe events.In order to be able to better assist the controller’s control,this paper,by using electronic process single system huge historical data,analysis,to obtain relevant information about the flight dynamic prediction,and combined with the controller’s control experience and the existing flight rules,in view of the aircraft fly in the different phases of flight dynamic identification,and the aircraft flight dynamic information recognition,from the Angle of altitude,speed,heading three classification recognition,to take a regular expression to extract the dynamic information of flight track,in accordance with regulatory experience PHMM model is set up,so as to realize the identification of aircraft dynamic information,Using BP neural network predictive power of reasoning,combined with the time-series modeling ability of hidden markov algorithm,radar data,through a lot of history to correction of model parameter,thus to establish control experience and flight rules of HMM-BP hybrid model,And the flight conflict situation produced by two aircraft is simulated and verified,aircraft flight dynamic prediction,assist controllers work,reduce the risk of control.