Optimal Scheduling And 4D Trajectory Planning For Arrival Aircraft

Trajectory based operation(TBO)is an important strategy to solve the problem of the metering and optimal scheduling of the rapidly growing air traffic flow in the terminal area of airport.At present,most of the research focuses on the sequencing optimization of arrival aircraft,but the flight trajectory for scheduling strategy is not given.The goal of TBO development is to optimize the time slot allocation of aircraft at the metering fix,providing applicable flight trajectories that satisfy the optimal time slot relationship.Firstly,4D trajectory definition was analyzed,meanwhile 4D trajectory prediction definition and principle was also analysed.According to the synthesis mechanism of horizontal trajectory prediction model and vertical profile prediction model,this paper built a4 D trajectory model based on flight performance.Simulation experiments show that the average error value of aircraft ETA is less than 10 s in the airspace of the terminal area.The proposed 4D trajectory prediction model can accurately realize trajectory prediction for different aircraft types and different air routes.Secondly,using the ETA obtained from 4D trajectory prediction as the basic input,a multi-objective optimization scheduling model with priority as well as other constraints was constructed.An improved multi-objective particle swarm optimization algorithm(MOPSO)based on roulette bet operator and penalty function updating adjustment strategy was introduced to solve the optimization model.The simulation results show that compared with FCFS,the flight delay of the optimal scheduling model is decreased by 34.8%.Based on the spatio-temporal trajectory analysis of traffic flow density,flight delay as well as airspace use,the analysis shows that the optimal scheduling scheme of arrival aircraft is reasonable and effective.Finally,in order to planning flight trajectory that satisfies the scheduling scheme,according to the analysis of RTA and time slot allocation,the synthesis mechanism of horizontal trajectory together with vertical profile is studied.The principle of 4D trajectory planning algorithm is analyzed.IPSO algorithm is designed based on the initialization of Skew-Tent mapping and online weight generation,furthermore,4D trajectory planning algorithm based on IPSO is proposed.The simulation results show that the average RTA compliance of flight trajectory based on optimal scheduling and planning is kept within 0.4s.Compared with the guidance mode based on radar control,the flight trajectory,with the applicability of flight along with air traffic control,is simple.All aircraft maintain CDO without low altitude level flight.Based on the spatio-temporal trajectory,the conformance between the planned flight trajectory as well as the scheduling scheme is analyzed.The analysis shows that the planned flight trajectory can meet the requirements of RTA,ensuring the strategic flexibility of scheduling.After establishing the optimal scheduling model based on ETA,the solution algorithm is improved and presentated.Then,this paper constructed automatic solving algorithm satisfying RTA corresponding to the 4D trajectory planning model.The decoupling mechanism between optimal scheduling RTA and 4D trajectory planning was established.Not only promoting the development of TBO,but also guiding the implementation of strategic flexible scheduling.