A 4D track generation method

Abstract

The invention discloses a 4D track generating method. The method includes the following steps of receiving aircraft meteorological data sent by an aircraft to download AMDAR data, conducting testing and quality control on the AMDAR data, generating a flight height profile and a flight speed profile according to the track historical information in the AMDAR data and the large elliptic distance method, generating a nominal flight profile as an initial 4D track generating profile according to the flight height profile and the flight speed profile and through a dynamic time warping (DTW) algorithm and an aircraft basic performance database (BADA) model, modifying weather forecast GRIB data according to actually-measured meteorological data in the AMDAR data, and calculating aircraft airway point-to-point time and combining the aircraft airway point-to-point time with the nominal flight profile to generate a 4D track.

Description

technical field [0001] The present invention relates to a nominal flight profile 4D (Four-Dimensional) trajectory generation method, in particular to a method based on aircraft meteorological data downlink (Aircraft Meteorological Data Relay, referred to as AMDAR) and meteorological measured data correction weather forecast GRIB (GRIdedBinary, GRIB) data 4D trajectory generation method. Background technique [0002] As a basic key technology for the implementation of future airspace operations, 4D trajectory prediction and trajectory-oriented operations are the core components of the next-generation air traffic control automation system, flight flow management system and other systems. The dead reckoning system can be divided into two types according to the length of the deduction time: pre-tactical dead reckoning (simulation of the flight process several hours before the aircraft takes off) and tactical dead reckoning (simulation of the flight process of the aircraft in the...

AI Technical Summary

Problems solved by technology

The non-parametric data mining method of flight track data can solve the problem of track reckoning under normal conditions, but the dynamic adaptability is poor. The deviation of the results will be large, and the dynamic model method is too dependent on model parameters, and a large number of undetermined model parameters will affect the accuracy of trajectory planning

The trajectory planning of a single aircraft is mainly to divide the whole flight process into several stages, conduct modeling research on the flight path of each stage, and less consider the influence of fuel consumption and meteorological factors, resulting in the impact on the aircraft ground speed. The estimated deviation is large

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