Research On Optimization Of Collaborative Approach Parameters Of Multiple Aircraft Based On Merge Point Technology

With the rapid development of the civil aviation industry,the number of flights in the terminal area continues to increase,and the problems of controller workload,flight safety and flight efficiency become more and more prominent.In order to reduce the controller workload and improve flight safety and flight efficiency,the European Control Experiment Center proposed the merge point system.With the wide application and promotion of the merge point system,more and more attention has been paid to how to reduce the cost of the cooperative operation of multiple aircraft in the merge point system on the premise of ensuring the flight safety of multiple aircraft.Firstly,the structure components and operation mode of the merge point system are analyzed,constructs the multiple aircraft collaborative optimization sequencing model of the merge point system,and solves the time when the multiple aircraft with the highest flight efficiency fly to the mereg point directly in merge point system by using MATLAB programming,that is,the sequence of multiple aircraft approach,After optimization,the total flight time of multiple aircraft is reduced by 25.9%,which effectively improves the flight efficiency of multiple aircraft in the merge point system.Then,aiming at the problem of reducing the total operation cost of multiple aircraft in merge point system,including flight time cost,flight fuel consumption cost and pollutant emission cost,the multiple aircraft collaborative flight parameter optimization model of merge point system is constructed.According to the time of multiple aircraft entering merge point system and the time of multiple aircraft direct flight to merge point,combined with the calculation method of aircraft performance,the calculation method of 4D trajectory of multiple aircrafts in the merge point system is introduced.The flight position of multiple aircraft in merge point system at any time and the interval between multiple aircraft are further obtained as the model constraints.The indicated airspeed of each aircraft with the lowest total operation cost is solved by genetic algorithm including elitist reservation strategy,The calculation method can accurately predict the 4D trajectory of multiple aircraft in the merge point system and reduce the total operation cost of multiple aircraft.Finally,the capacity assessment method of merge point system is introduced,including static capacity assessment method and dynamic capacity assessment method.The dynamic capacity assessment method increases the number of aircrafts entering merge point system in unit time,and determines the interval between aircrafts according to the 4D trajectory of multiple aircrafts as the constraint condition,and uses computer simulation to delay the aircraft entering the merge point system or the direct flight merge point solves the flight conflict at all times,which means that the real-time interval of multiple aircraft at the merge point system is greater than the standard of the specified wake interval.The proportion of the accumulated waiting cost of the multiple aircraft to the total cumulative parameter cost and the average flight cost are analyzed to obtain the optimal dynamic capacity of the merge point system.